馬見塚 拓

Last Update: 2019/06/07 19:36:46

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Name(Kanji/Kana/Abecedarium Latinum)
馬見塚 拓/マミツカ ヒロシ/Mamitsuka, Hiroshi
Primary Affiliation(Org1/Job title)
Institute for Chemical Research (ICR)/Professor
Affiliated programs (koza)
Org1 Job title
Graduate Schools Pharmaceutical Sciences Professor
Concurrent Affiliation
Org1 Job title
Center for the Promotion of Interdisciplinary Education and Research (C-PiER)
Contact Address
Type Address(Japanese) Address(English)
Office
Phone
Type Number
Office
Academic Degree
Field(Japanese) Field(English) University(Japanese) University(English) Method
修士(工学) 東京大学
博士(理学) 東京大学
Personal Website(s) (URL(s))
URL
http://www.bic.kyoto-u.ac.jp/pathway/mami
ORCID ID
https://orcid.org/0000-0002-6607-5617
researchmap URL
https://researchmap.jp/7000008516
Published Papers
Author Author(Japanese) Author(English) Title Title(Japanese) Title(English) Bibliography Bibliography(Japanese) Bibliography(English) Publication date Refereed paper Language Publishing type Disclose
馬見塚 拓 馬見塚 拓 機械学習による薬物分子-ターゲット相互作用予測 機械学習による薬物分子-ターゲット相互作用予測 SAR News, 29, 2-8 SAR News, 29, 2-8 , 29, 2-8 2015/10 Japanese Research paper(scientific journal) Disclose to all
茅野 光範, 馬見塚 拓 茅野 光範, 馬見塚 拓 Close up実験法 Series225 ROS-DETによる遺伝子「スイッチ発現」検出 Close up実験法 Series225 ROS-DETによる遺伝子「スイッチ発現」検出 実験医学, 30, 6, 969-974 実験医学, 30, 6, 969-974 , 30, 6, 969-974 2012/04 Japanese Research paper(scientific journal) Disclose to all
瀧川 一学, 馬見塚 拓 瀧川 一学, 馬見塚 拓 化学とグラフアルゴリズム 化学とグラフアルゴリズム 化学と教育, 59, 9, 450-453 化学と教育, 59, 9, 450-453 , 59, 9, 450-453 2011/09 Refereed Japanese Research paper(scientific journal) Disclose to all
馬見塚 拓, 米屋 隆 馬見塚 拓, 米屋 隆 PURE:PubMed文献検索支援システム PURE:PubMed文献検索支援システム 実験医学, 26, 7, 1167-1172 実験医学, 26, 7, 1167-1172 , 26, 7, 1167-1172 2008/05 Japanese Research paper(scientific journal) Disclose to all
志賀 元紀, 瀧川 一学, 馬見塚 拓 志賀 元紀, 瀧川 一学, 馬見塚 拓 多様なゲノムデータの統合的クラスタリング解析(理論/実験技術) 多様なゲノムデータの統合的クラスタリング解析(理論/実験技術) 生物物理, 48, 3, 190-194 生物物理, 48, 3, 190-194 , 48, 3, 190-194 2008/05 Refereed Japanese Research paper(scientific journal) Disclose to all
馬見塚 拓, 安倍 直樹 馬見塚 拓, 安倍 直樹 集団質問学習 - データマイニング・バイオインフォマティクスへの展開 - (招待論文) 集団質問学習 - データマイニング・バイオインフォマティクスへの展開 - (招待論文) 電子情報通信学会和文論文誌, J85D-II, 5, 717-724 電子情報通信学会和文論文誌, J85D-II, 5, 717-724 , J85D-II, 5, 717-724 2002/05 Refereed Japanese Research paper(scientific journal) Disclose to all
You R, Yao S, Xiong Y, Huang X, Sun F, Mamitsuka H, Zhu S You R, Yao S, Xiong Y, Huang X, Sun F, Mamitsuka H, Zhu S NetGO: improving large-scale protein function prediction with massive network information. NetGO: improving large-scale protein function prediction with massive network information. Nucleic acids research Nucleic acids research 2019/05 Refereed Disclose to all
Gillberg J, Marttinen P, Mamitsuka H, Kaski S Gillberg J, Marttinen P, Mamitsuka H, Kaski S Modelling G×E with historical weather information improves genomic prediction in new environments. Modelling G×E with historical weather information improves genomic prediction in new environments. Bioinformatics (Oxford, England) Bioinformatics (Oxford, England) 2019/04 Refereed English Research paper(scientific journal) Disclose to all
Wicker, N., Nguyen, C. H. and Mamitsuka, H. Wicker, N., Nguyen, C. H. and Mamitsuka, H. A p-Laplacian Random Walk: Application to Video Games. A p-Laplacian Random Walk: Application to Video Games. Austrian Journal of Statistics Austrian Journal of Statistics 2019 Refereed Disclose to all
Eid, A., Mamitsuka, H. and Wicker, N. Eid, A., Mamitsuka, H. and Wicker, N. A Metropolis-Hastings Sampling of Subtrees in Graphs. A Metropolis-Hastings Sampling of Subtrees in Graphs. Austrian Journal of Statistics Austrian Journal of Statistics 2019 Refereed Disclose to all
duVerle DA, Mamitsuka H duVerle DA, Mamitsuka H CalCleaveMKL: a Tool for Calpain Cleavage Prediction. CalCleaveMKL: a Tool for Calpain Cleavage Prediction. Methods in molecular biology (Clifton, N.J.), 1915, 121-147 , 1915, 121-147 Methods in molecular biology (Clifton, N.J.), 1915, 121-147 2019 Refereed Disclose to all
Nguyen, D. H., Nguyen, C. H. and Mamitsuka, H. Nguyen, D. H., Nguyen, C. H. and Mamitsuka, H. ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra. ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra. Bioinformatics (Proceedings of the 27th International Conference on Intelligent Systems for Molecular Biology (ISMB/ECCB 2019)) Bioinformatics (Proceedings of the 27th International Conference on Intelligent Systems for Molecular Biology (ISMB/ECCB 2019)) 2019 Refereed English Research paper(scientific journal) Disclose to all
Sun, L., Nguyen, C. H. and Mamitsuka, H. Sun, L., Nguyen, C. H. and Mamitsuka, H. Fast and Robust Multi-View Multi-Task Learning via Group Sparsity. Fast and Robust Multi-View Multi-Task Learning via Group Sparsity. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019) Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019) 2019 Refereed English Research paper(international conference proceedings) Disclose to all
Sun, L., Nguyen, C. H. and Mamitsuka, H. Sun, L., Nguyen, C. H. and Mamitsuka, H. Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning. Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019) Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019) 2019 Refereed English Research paper(international conference proceedings) Disclose to all
Hiroshi Mamitsuka Hiroshi Mamitsuka Textbook of Machine Learning and Data Mining (with Bioinformatics Applications) Textbook of Machine Learning and Data Mining (with Bioinformatics Applications) Global Data Science Publishing Global Data Science Publishing 2018/09 Refereed English Disclose to all
Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka Convex Coupled Matrix and Tensor Completion Convex Coupled Matrix and Tensor Completion Neural Computation Neural Computation 2018/08 Refereed English Research paper(scientific journal) Disclose to all
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka Recent Advances and Prospects of Computational Methods for Metabolite Identification: A Review with Emphasis on Machine Learning Approaches Recent Advances and Prospects of Computational Methods for Metabolite Identification: A Review with Emphasis on Machine Learning Approaches Briefings in Bioinformatics Briefings in Bioinformatics 2018/08 Refereed English Research paper(scientific journal) Disclose to all
Dai Hai Nguyen, Canh Hao Nguyen, Mamitsuka Hiroshi Dai Hai Nguyen, Canh Hao Nguyen, Mamitsuka Hiroshi SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra Bioinformatics, 34, 13, i323-i332 , 34, 13, i323-i332 Bioinformatics, 34, 13, i323-i332 2018/06 Refereed English Research paper(scientific journal) Disclose to all
You Ronghui, Zhang Zihan, Xiong Yi, Sun Fengzhu, Mamitsuka Hiroshi, Zhu Shanfeng You Ronghui, Zhang Zihan, Xiong Yi, Sun Fengzhu, Mamitsuka Hiroshi, Zhu Shanfeng GOLabeler: Improving Sequence-based Large-scale Protein Function Prediction by Learning to Rank GOLabeler: Improving Sequence-based Large-scale Protein Function Prediction by Learning to Rank Bioinformatics, 34, 14, 2465-2473 , 34, 14, 2465-2473 Bioinformatics, 34, 14, 2465-2473 2018/03 Refereed English Research paper(scientific journal) Disclose to all
Hiroshi Mamitsuka Hiroshi Mamitsuka Data Mining for Systems Biology Data Mining for Systems Biology Methods in Molecular Biology, 1807 , 1807 Methods in Molecular Biology, 1807 2018 Refereed English Research paper(other science council materials etc.) Disclose to all
Shengwen Peng, Hiroshi Mamitsuka, Shanfeng Zhu Shengwen Peng, Hiroshi Mamitsuka, Shanfeng Zhu MeSHLabeler and DeepMeSH: Recent Progress in Large-Scale MeSH Indexing MeSHLabeler and DeepMeSH: Recent Progress in Large-Scale MeSH Indexing Methods in Molecular Biology, 1807, 203-209 , 1807, 203-209 Methods in Molecular Biology, 1807, 203-209 2018 Refereed English Research paper(scientific journal) Disclose to all
Jieyao Deng, Qingjun Yuan, Hiroshi Mamitsuka, Shanfeng Zhu Jieyao Deng, Qingjun Yuan, Hiroshi Mamitsuka, Shanfeng Zhu DrugE-Rank: Predicting Drug-Target Interactions by Learning to Rank DrugE-Rank: Predicting Drug-Target Interactions by Learning to Rank Methods in Molecular Biology, 1807, 195-202 , 1807, 195-202 Methods in Molecular Biology, 1807, 195-202 2018 Refereed English Research paper(scientific journal) Disclose to all
Kei-ichiro Takahashi, David A. duVerle, Sohiya Yotsukura, Ichigaku Takigawa, Hiroshi Mamitsuka Kei-ichiro Takahashi, David A. duVerle, Sohiya Yotsukura, Ichigaku Takigawa, Hiroshi Mamitsuka SiBIC: A Tool for Generating a Network of Biclusters Captured by Maximal Frequent Itemset Mining SiBIC: A Tool for Generating a Network of Biclusters Captured by Maximal Frequent Itemset Mining Methods in Molecular Biology, 1807, 95-111 , 1807, 95-111 Methods in Molecular Biology, 1807, 95-111 2018 Refereed English Research paper(scientific journal) Disclose to all
Masayuki Karasuyama,Hiroshi Mamitsuka Masayuki Karasuyama,Hiroshi Mamitsuka Factor Analysis on a Graph. Factor Analysis on a Graph. International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain, 1117-1126 , 1117-1126 International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain, 1117-1126 2018 Refereed English Research paper(international conference proceedings) Disclose to all
Wimalawarne Kishan, Mamitsuka Hiroshi Wimalawarne Kishan, Mamitsuka Hiroshi Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada., 31, 6902-6910 , 31, 6902-6910 Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada., 31, 6902-6910 2018 Refereed Disclose to all
Gao Junning, Yao Shuwei, Mamitsuka Hiroshi, Zhu Shanfeng Gao Junning, Yao Shuwei, Mamitsuka Hiroshi, Zhu Shanfeng AiProAnnotator: Low-rank Approximation with network side information for high-performance, large-scale human Protein abnormality Annotator AiProAnnotator: Low-rank Approximation with network side information for high-performance, large-scale human Protein abnormality Annotator PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 13-20 , 13-20 PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 13-20 2018 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka H. Mamitsuka H. Preface Preface Methods in Molecular Biology, 1807, v-vi , 1807, v-vi Methods in Molecular Biology, 1807, v-vi 2018 Refereed Disclose to all
Yamada M, Tang J, Lugo-Martinez J, Hodzic E, Shrestha R, Saha A, Ouyang H, Yin D, Mamitsuka H, Sahinalp C, Radivojac P, Menczer F, Chang Y. Yamada M, Tang J, Lugo-Martinez J, Hodzic E, Shrestha R, Saha A, Ouyang H, Yin D, Mamitsuka H, Sahinalp C, Radivojac P, Menczer F, Chang Y. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data IEEE Transactions on Knowledge and Data Engineering, 30, 7, 1352-1365 , 30, 7, 1352-1365 IEEE Transactions on Knowledge and Data Engineering, 30, 7, 1352-1365 2018 Refereed Disclose to all
Mehmet Gönen, Barbara A. Weir, Glenn S. Cowley, Francisca Vazquez, Yuanfang Guan, Alok Jaiswal, Masayuki Karasuyama, Vladislav Uzunangelov, Tao Wang, Aviad Tsherniak, Sara Howell, Daniel Marbach, Bruce Hoff, Thea C. Norman, Antti Airola, Adrian Bivol, Kerstin Bunte, Daniel Carlin, Sahil Chopra, Alden Deran, Kyle Ellrott, Peddinti Gopalacharyulu, Kiley Graim, Samuel Kaski, Suleiman A. Khan, Yulia Newton, Sam Ng, Tapio Pahikkala, Evan Paull, Artem Sokolov, Hao Tang, Jing Tang, Krister Wennerberg, Yang Xie, Xiaowei Zhan, Fan Zhu, Tero Aittokallio, Hiroshi Mamitsuka, Joshua~M. Stuart, Jesse~S. Boehm, David~E. Root, Guanghua Xiao, Gustavo Stolovitzky, William~C. Hahn, Adam~A. Margolin, Bahman Afsari, Antti Airola, Tero Aittokallio, Adrian Bivol, Jesse S. Boehm, Kerstin Bunte, Daniel Carlin, Yu-Chuan Chang, Tenghui Chen, Zechen Chong, Sahil Chopra, Glenn S. Cowley, Alden Deran, Kyle Ellrott, Haitham Elmarakeby, Elana J. Fertig, Emanuel Gon{\c{c}}alves, Mehmet Gönen, Pinghua Gong, Peddinti Gopalacharyulu, Kiley Graim, Yuanfang Guan, Christoph Hafemeister, William C. Hahn, Lenwood Heath, Bruce Hoff, Sara Howell, Alok Jaiswal, Masayuki Karasuyama, Samuel Kaski, {\L}ukasz K{\k{e}}dziorski, Suleiman A. Khan, Niraj Khemka, Erh-kan King, Mario Lauria, Mark Liu, Daniel Machado, Hiroshi Mamitsuka, Daniel Marbach, Adam A. Margolin, Mateusz Mazurkiewicz, Michael P. Menden, Szymon Migacz, Yulia Newton, Sam Ng, Zhi Nie, Thea C. Norman, Tapio Pahikkala, Evan Paull, Paurush Praveen, Corrado Priami, Simone Rizzetto, Miguel Rocha, David E. Root, Cameron Rudd, Witold R. Rudnicki, Julio Saez-Rodriguez, Artem Sokolov, Lei Song, Gustavo Stolovitzky, Joshua M. Stuart, Duanchen Sun, Bence Szalai, Hao Tang, Jing Tang, Aviad Tsherniak, Vladislav Uzunangelov, Francisca Vazquez, Tao Wang, Difei Wang, Barbara A. Weir, Krister Wennerberg, Ling-yun Wu, Guanghua Xiao, Yang Xie, Jieping Ye, Yuting Ye, Xiaowei Zhan, Wanding Zhou, Fan Zhu Mehmet Gönen, Barbara A. Weir, Glenn S. Cowley, Francisca Vazquez, Yuanfang Guan, Alok Jaiswal, Masayuki Karasuyama, Vladislav Uzunangelov, Tao Wang, Aviad Tsherniak, Sara Howell, Daniel Marbach, Bruce Hoff, Thea C. Norman, Antti Airola, Adrian Bivol, Kerstin Bunte, Daniel Carlin, Sahil Chopra, Alden Deran, Kyle Ellrott, Peddinti Gopalacharyulu, Kiley Graim, Samuel Kaski, Suleiman A. Khan, Yulia Newton, Sam Ng, Tapio Pahikkala, Evan Paull, Artem Sokolov, Hao Tang, Jing Tang, Krister Wennerberg, Yang Xie, Xiaowei Zhan, Fan Zhu, Tero Aittokallio, Hiroshi Mamitsuka, Joshua~M. Stuart, Jesse~S. Boehm, David~E. Root, Guanghua Xiao, Gustavo Stolovitzky, William~C. Hahn, Adam~A. Margolin, Bahman Afsari, Antti Airola, Tero Aittokallio, Adrian Bivol, Jesse S. Boehm, Kerstin Bunte, Daniel Carlin, Yu-Chuan Chang, Tenghui Chen, Zechen Chong, Sahil Chopra, Glenn S. Cowley, Alden Deran, Kyle Ellrott, Haitham Elmarakeby, Elana J. Fertig, Emanuel Gon{\c{c}}alves, Mehmet Gönen, Pinghua Gong, Peddinti Gopalacharyulu, Kiley Graim, Yuanfang Guan, Christoph Hafemeister, William C. Hahn, Lenwood Heath, Bruce Hoff, Sara Howell, Alok Jaiswal, Masayuki Karasuyama, Samuel Kaski, {\L}ukasz K{\k{e}}dziorski, Suleiman A. Khan, Niraj Khemka, Erh-kan King, Mario Lauria, Mark Liu, Daniel Machado, Hiroshi Mamitsuka, Daniel Marbach, Adam A. Margolin, Mateusz Mazurkiewicz, Michael P. Menden, Szymon Migacz, Yulia Newton, Sam Ng, Zhi Nie, Thea C. Norman, Tapio Pahikkala, Evan Paull, Paurush Praveen, Corrado Priami, Simone Rizzetto, Miguel Rocha, David E. Root, Cameron Rudd, Witold R. Rudnicki, Julio Saez-Rodriguez, Artem Sokolov, Lei Song, Gustavo Stolovitzky, Joshua M. Stuart, Duanchen Sun, Bence Szalai, Hao Tang, Jing Tang, Aviad Tsherniak, Vladislav Uzunangelov, Francisca Vazquez, Tao Wang, Difei Wang, Barbara A. Weir, Krister Wennerberg, Ling-yun Wu, Guanghua Xiao, Yang Xie, Jieping Ye, Yuting Ye, Xiaowei Zhan, Wanding Zhou, Fan Zhu A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines Cell Systems, 5, 5, 485-497 , 5, 5, 485-497 Cell Systems, 5, 5, 485-497 2017/11 Refereed English Research paper(scientific journal) Disclose to all
Takigawa, I. and Mamitsuka, H. Takigawa, I. and Mamitsuka, H. Generalized Sparse Learning of Linear Models over the Complete Subgraph Feature Set. Generalized Sparse Learning of Linear Models over the Complete Subgraph Feature Set. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 3, 617-624 , 39, 3, 617-624 IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 3, 617-624 2017/03 Refereed English Research paper(scientific journal) Disclose to all
Karasuyama, M. and Mamitsuka, H. Karasuyama, M. and Mamitsuka, H. Adaptive Edge Weighting for Graph-Based Learning Algorithms. Adaptive Edge Weighting for Graph-Based Learning Algorithms. Machine Learning, 106, 2, 307-335 , 106, 2, 307-335 Machine Learning, 106, 2, 307-335 2017/02 Refereed English Research paper(scientific journal) Disclose to all
Yotsukura, S., duVerle D., Hancock, T., Natsume-Kitatani, Y. and Mamitsuka, H. Yotsukura, S., duVerle D., Hancock, T., Natsume-Kitatani, Y. and Mamitsuka, H. Computational Recognition for Long Non-coding RNA (lncRNA): Software and Databases. Computational Recognition for Long Non-coding RNA (lncRNA): Software and Databases. Briefings in Bioinformatics, 18, 1, 9-27 , 18, 1, 9-27 Briefings in Bioinformatics, 18, 1, 9-27 2017/01 Refereed English Research paper(scientific journal) Disclose to all
Yotsukura Sohiya, Karasuyama Masayuki, Takigawa Ichigaku, Mamitsuka Hiroshi Yotsukura Sohiya, Karasuyama Masayuki, Takigawa Ichigaku, Mamitsuka Hiroshi Exploring Phenotype Patterns of Breast Cancer within Somatic Mutations Exploring Phenotype Patterns of Breast Cancer within Somatic Mutations Briefings in Bioinformatics, 18, 4, 619-633 , 18, 4, 619-633 Briefings in Bioinformatics, 18, 4, 619-633 2017 Refereed English Research paper(scientific journal) Disclose to all
Yamada M, Lian W, Goyal A, Chen J, Wimalawarne K, Khan S.A, Kaski S, Mamitsuka H, Chang Y. Yamada M, Lian W, Goyal A, Chen J, Wimalawarne K, Khan S.A, Kaski S, Mamitsuka H, Chang Y. Convex Factorization Machine for Toxicogenomics Prediction Convex Factorization Machine for Toxicogenomics Prediction Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1215-1224 , 1215-1224 Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1215-1224 2017 Refereed Disclose to all
Zhou Shuigeng, Chen Phoebe Yi-Ping, Mamitsuka Hiroshi Zhou Shuigeng, Chen Phoebe Yi-Ping, Mamitsuka Hiroshi Introduction to the special issue on GIW 2016 Introduction to the special issue on GIW 2016 Journal of Bioinformatics and Computational Biology, 14, 5 , 14, 5 Journal of Bioinformatics and Computational Biology, 14, 5 2016/10 Refereed Disclose to all
Johnston, I., Hancock, T., Mamitsuka, H. and Carvalho, L. Johnston, I., Hancock, T., Mamitsuka, H. and Carvalho, L. Gene-proximity Models for Genome-Wide Association Studies. Gene-proximity Models for Genome-Wide Association Studies. Annals of Applied Statistics, 10, 3, 1217-1244 , 10, 3, 1217-1244 Annals of Applied Statistics, 10, 3, 1217-1244 2016/09 Refereed English Research paper(scientific journal) Disclose to all
Gao, J., Yamada, M., Kaski, S., Mamitsuka, H. and Zhu, S. Gao, J., Yamada, M., Kaski, S., Mamitsuka, H. and Zhu, S. A Robust Convex Formulations for Ensemble Clustering. A Robust Convex Formulations for Ensemble Clustering. Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 1476-1482 , 1476-1482 Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 1476-1482 2016/07 Refereed English Research paper(international conference proceedings) Disclose to all
Mohamed, A., Nguyen, C. H. and Mamitsuka, H. Mohamed, A., Nguyen, C. H. and Mamitsuka, H. NMRPro: An Integrated Web Component for Interactive Processing and Visualization of NMR Spectra. NMRPro: An Integrated Web Component for Interactive Processing and Visualization of NMR Spectra. Bioinformatics, 32, 13, 2067-2068 , 32, 13, 2067-2068 Bioinformatics, 32, 13, 2067-2068 2016/07 Refereed English Research paper(scientific journal) Disclose to all
Yuan, Q.-J., Gao, J., Wu, D., Zhang, S., Mamitsuka, H. and Zhu, S. Yuan, Q.-J., Gao, J., Wu, D., Zhang, S., Mamitsuka, H. and Zhu, S. DrugE-Rank: Improving Drug-Target Interaction Prediction of New Candidate Drugs or Targets by Ensemble Learning to Rank. DrugE-Rank: Improving Drug-Target Interaction Prediction of New Candidate Drugs or Targets by Ensemble Learning to Rank. Bioinformatics (Proceedings of the 24th International Conference on Intelligent Systems for Molecular Biology (ISMB 2016)), 32, 12, i18-i27 , 32, 12, i18-i27 Bioinformatics (Proceedings of the 24th International Conference on Intelligent Systems for Molecular Biology (ISMB 2016)), 32, 12, i18-i27 2016/06 Refereed English Research paper(international conference proceedings) Disclose to all
Peng, S., You, R., Wang, H., Zhai, C., Mamitsuka, H. and Zhu, S. Peng, S., You, R., Wang, H., Zhai, C., Mamitsuka, H. and Zhu, S. DeepMeSH: Deep Semantic Representation for Improving Large-scale MeSH Indexing. DeepMeSH: Deep Semantic Representation for Improving Large-scale MeSH Indexing. Bioinformatics (Proceedings of the 24th International Conference on Intelligent Systems for Molecular Biology (ISMB 2016)), 32, 12, i70-i78 , 32, 12, i70-i78 Bioinformatics (Proceedings of the 24th International Conference on Intelligent Systems for Molecular Biology (ISMB 2016)), 32, 12, i70-i78 2016/06 Refereed English Research paper(international conference proceedings) Disclose to all
Nguyen, C. H. and Mamitsuka, H. Nguyen, C. H. and Mamitsuka, H. New Resistance Distances with Global Information on Large Graphs. New Resistance Distances with Global Information on Large Graphs. JMLR Workshop and Conference Proceedings (Proceedings of the Nineteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2016)), 51, 639-647 , 51, 639-647 JMLR Workshop and Conference Proceedings (Proceedings of the Nineteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2016)), 51, 639-647 2016/05 Refereed English Research paper(international conference proceedings) Disclose to all
Xu, Y., Luo, C., Mamitsuka, H. and Zhu, S. Xu, Y., Luo, C., Mamitsuka, H. and Zhu, S. MetaMHCpan, A Meta Apporach for Pan-specific MHC Peptide Binding Prediction. MetaMHCpan, A Meta Apporach for Pan-specific MHC Peptide Binding Prediction. Methods in Molecular Biology, 1404, 753-760 , 1404, 753-760 Methods in Molecular Biology, 1404, 753-760 2016/04 Refereed English Research paper(scientific journal) Disclose to all
Shinkai-Ouchi, F., Koyama, S., Ono, Y., Hata, S., Ojima, K., Shindo, M., duVerle, D., Kitamura, F., Doi, N., Takigawa, I., Mamitsuka, H. and Sorimachi, H. Shinkai-Ouchi, F., Koyama, S., Ono, Y., Hata, S., Ojima, K., Shindo, M., duVerle, D., Kitamura, F., Doi, N., Takigawa, I., Mamitsuka, H. and Sorimachi, H. Predictions of Cleavability of Calpain Proteolysis by Quantitative Structure-Activity Relationship Analysis Using Newly Determined Cleavage Sites and Catalytic Efficiencies of an Oligopeptide Array. Predictions of Cleavability of Calpain Proteolysis by Quantitative Structure-Activity Relationship Analysis Using Newly Determined Cleavage Sites and Catalytic Efficiencies of an Oligopeptide Array. Molecular and Cellular Proteomics, 15, 4, 1262-1280 , 15, 4, 1262-1280 Molecular and Cellular Proteomics, 15, 4, 1262-1280 2016/04 Refereed English Research paper(scientific journal) Disclose to all
Mohamed, A., Nguyen, C. H. and Mamitsuka, H. Mohamed, A., Nguyen, C. H. and Mamitsuka, H. Current Status and Prospects of Computational Resources for Natural Product Dereplication: A Review. Current Status and Prospects of Computational Resources for Natural Product Dereplication: A Review. Briefings in Bioinformatics, 17, 2, 309-321 , 17, 2, 309-321 Briefings in Bioinformatics, 17, 2, 309-321 2016/03 Refereed English Research paper(scientific journal) Disclose to all
Natsume-Kitatani, Y. and Mamitsuka, H. Natsume-Kitatani, Y. and Mamitsuka, H. Classification of Promoters based on the Combination of Core Promoter Elements Exhibits Different Histone Modification Patterns. Classification of Promoters based on the Combination of Core Promoter Elements Exhibits Different Histone Modification Patterns. PLoS One, 11, 3, e0151917 , 11, 3, e0151917 PLoS One, 11, 3, e0151917 2016/03 Refereed English Research paper(scientific journal) Disclose to all
Nakamura, A., Takigawa, I., Tosaka, H., Kudo, M. and Mamitsuka, H. Nakamura, A., Takigawa, I., Tosaka, H., Kudo, M. and Mamitsuka, H. Mining Approximate Patterns with Frequent Locally Optimal Occurrences. Mining Approximate Patterns with Frequent Locally Optimal Occurrences. Discrete Applied Mathematics, 200, 123-152 , 200, 123-152 Discrete Applied Mathematics, 200, 123-152 2016/02 Refereed English Research paper(scientific journal) Disclose to all
Wicker, N., Nguyen, C. H. and Mamitsuka, H. Wicker, N., Nguyen, C. H. and Mamitsuka, H. Some Properties of a Dissimilarity Measure for Labeled Graphs. Some Properties of a Dissimilarity Measure for Labeled Graphs. Publications Mathématiques de Besançon: Algèbre et Théorie des Nombres, 85-94 , 85-94 Publications Mathématiques de Besançon: Algèbre et Théorie des Nombres, 85-94 2016 Refereed English Research paper(scientific journal) Disclose to all
Yotsukura, S., Karasuyama, M., Takigawa, I. and Mamitsuka, H. Yotsukura, S., Karasuyama, M., Takigawa, I. and Mamitsuka, H. A Bioinformatics Approach for Understanding Genotype-phenotype Correlation in Breast Cancer. A Bioinformatics Approach for Understanding Genotype-phenotype Correlation in Breast Cancer. Big Data Analytics in Genomics, 397-428 , 397-428 Big Data Analytics in Genomics, 397-428 2016 Refereed English Research paper(other science council materials etc.) Disclose to all
Zhou, J., Shui, Y., Peng, S., Li, X., Mamitsuka, H. and Zhu, S. Zhou, J., Shui, Y., Peng, S., Li, X., Mamitsuka, H. and Zhu, S. MeSHSim: An R/Bioconductor Package for Measuring Semantic Similarity over MeSH Headings and MEDLINE Documents. MeSHSim: An R/Bioconductor Package for Measuring Semantic Similarity over MeSH Headings and MEDLINE Documents. Journal of Bioinformatics and Computational Biology, 13, 6, 1542002 , 13, 6, 1542002 Journal of Bioinformatics and Computational Biology, 13, 6, 1542002 2015/12 Refereed English Research paper(scientific journal) Disclose to all
Baba, H, Takahara, J. and Mamitsuka, H. Baba, H, Takahara, J. and Mamitsuka, H. In Silico Predictions of Human Skin Permeability using Nonlinear Quantitative Structure-Property Relationship Models. In Silico Predictions of Human Skin Permeability using Nonlinear Quantitative Structure-Property Relationship Models. Pharmaceutical Research, 32, 7, 2360-2371 , 32, 7, 2360-2371 Pharmaceutical Research, 32, 7, 2360-2371 2015/07 Refereed English Research paper(scientific journal) Disclose to all
Zheng, X., Zhu, S., Gao, J. and Mamitsuka, H. Zheng, X., Zhu, S., Gao, J. and Mamitsuka, H. Instance-wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters. Instance-wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters. Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), 4091-4097 , 4091-4097 Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), 4091-4097 2015/07 Refereed English Research paper(international conference proceedings) Disclose to all
Shiga, M. and Mamitsuka, H. Shiga, M. and Mamitsuka, H. Non-negative Matrix Factorization with Auxiliary Information on Overlapping Groups. Non-negative Matrix Factorization with Auxiliary Information on Overlapping Groups. IEEE Transactions on Knowledge and Data Engineering, 27, 6, 1615-1628 , 27, 6, 1615-1628 IEEE Transactions on Knowledge and Data Engineering, 27, 6, 1615-1628 2015/06 Refereed English Research paper(scientific journal) Disclose to all
Liu, K., Peng, S., Wu, J., Zhai, C., Mamitsuka H. and Zhu S. Liu, K., Peng, S., Wu, J., Zhai, C., Mamitsuka H. and Zhu S. MeSHLabeler: Improving the Accuracy of Large-scale MeSH indexing by Integrating Diverse Evidence. MeSHLabeler: Improving the Accuracy of Large-scale MeSH indexing by Integrating Diverse Evidence. Bioinformatics (Proceedings of the 23rd International Conference on Intelligent Systems for Molecular Biology (ISMB/ECCB 2015)), 31, 12, i339-i347 , 31, 12, i339-i347 Bioinformatics (Proceedings of the 23rd International Conference on Intelligent Systems for Molecular Biology (ISMB/ECCB 2015)), 31, 12, i339-i347 2015/06 Refereed English Research paper(international conference proceedings) Disclose to all
Wang, B., Chen, X., Mamitsuka, H. and Zhu, S. Wang, B., Chen, X., Mamitsuka, H. and Zhu, S. BMExpert: Mining MEDLINE for Finding Experts in Biomedical Domains Based on Language Model BMExpert: Mining MEDLINE for Finding Experts in Biomedical Domains Based on Language Model IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12, 6, 1286-1294 , 12, 6, 1286-1294 IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12, 6, 1286-1294 2015/06 Refereed English Research paper(scientific journal) Disclose to all
Yotsukura, S. and Mamitsuka, H. Yotsukura, S. and Mamitsuka, H. Evaluation of Serum-based Cancer Biomarkers: A Brief Review from a Clinical and Computational Viewpoint. Evaluation of Serum-based Cancer Biomarkers: A Brief Review from a Clinical and Computational Viewpoint. Critical Reviews in Oncology/Hematology, 93, 2, 103-115 , 93, 2, 103-115 Critical Reviews in Oncology/Hematology, 93, 2, 103-115 2015/02 Refereed English Research paper(scientific journal) Disclose to all
Mohamed, A., Hancock, T., Nguyen, C. H. and Mamitsuka, H. Mohamed, A., Hancock, T., Nguyen, C. H. and Mamitsuka, H. NetPathMiner:R/Bioconductor Package for Network Path Mining through Gene Expression. NetPathMiner:R/Bioconductor Package for Network Path Mining through Gene Expression. Bioinformatics, 30, 21, 3139-3141 , 30, 21, 3139-3141 Bioinformatics, 30, 21, 3139-3141 2014/11 Refereed English Research paper(scientific journal) Disclose to all
Ding, H., Takigawa, I., Mamitsuka, H. and Zhu, S. Ding, H., Takigawa, I., Mamitsuka, H. and Zhu, S. Similarity-based Machine Learning Methods for Predicting Drug-target Interactions: A Brief Review. Similarity-based Machine Learning Methods for Predicting Drug-target Interactions: A Brief Review. Briefings in Bioinformatics, 15, 5, 737-747 , 15, 5, 737-747 Briefings in Bioinformatics, 15, 5, 737-747 2014/09 Refereed English Research paper(scientific journal) Disclose to all
Nguyen, C. H., Wicker, N. and Mamitsuka, H. Nguyen, C. H., Wicker, N. and Mamitsuka, H. Selecting Graph Cut Solutions via Global Graph Similarity Selecting Graph Cut Solutions via Global Graph Similarity IEEE Transactions on Neural Networks and Learning Systems, 25, 7, 1407-1412 , 25, 7, 1407-1412 IEEE Transactions on Neural Networks and Learning Systems, 25, 7, 1407-1412 2014/07 Refereed English Research paper(scientific journal) Disclose to all
Kayano, M., Shiga, M. and Mamitsuka, H. Kayano, M., Shiga, M. and Mamitsuka, H. Detecting Differentially Coexpressed Genes from Labeled Expression Data:A Brief Review. Detecting Differentially Coexpressed Genes from Labeled Expression Data:A Brief Review. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11, 1, 154-167 , 11, 1, 154-167 IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11, 1, 154-167 2014/01 Refereed English Research paper(scientific journal) Disclose to all
Karasuyama, M. and Mamitsuka, H. Karasuyama, M. and Mamitsuka, H. Multiple Graph Label Propagation by Sparse Integration. Multiple Graph Label Propagation by Sparse Integration. IEEE Transactions on Neural Networks and Learning Systems, 24, 12, 1999-2012 , 24, 12, 1999-2012 IEEE Transactions on Neural Networks and Learning Systems, 24, 12, 1999-2012 2013/12 Refereed English Research paper(scientific journal) Disclose to all
Takahashi, K., Takigawa, I. and Mamitsuka, H. Takahashi, K., Takigawa, I. and Mamitsuka, H. SiBIC: A Web Server for Generating Gene Set Networks Based on Biclusters Obtained by Maximal Frequent Itemset Mining. SiBIC: A Web Server for Generating Gene Set Networks Based on Biclusters Obtained by Maximal Frequent Itemset Mining. PLoS ONE, 8, 12, e82890 , 8, 12, e82890 PLoS ONE, 8, 12, e82890 2013/12 Refereed English Research paper(scientific journal) Disclose to all
Karasuyama, M. and Mamitsuka, H. Karasuyama, M. and Mamitsuka, H. Manifold-based Similarity Adaptation for Label Propagation. Manifold-based Similarity Adaptation for Label Propagation. Proceedings of the Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), 1547-1555 , 1547-1555 Proceedings of the Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), 1547-1555 2013/12 Refereed English Research paper(international conference proceedings) Disclose to all
Zheng, X., Ding, H., Mamitsuka, H. and Zhu, S. Zheng, X., Ding, H., Mamitsuka, H. and Zhu, S. Collaborative Matrix Factorization with Multiple Similarities for Predicting Drug-Target Interactions. Collaborative Matrix Factorization with Multiple Similarities for Predicting Drug-Target Interactions. Proceedings of the Nineteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD 2013), 1025-1033 , 1025-1033 Proceedings of the Nineteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD 2013), 1025-1033 2013/08 Refereed English Research paper(international conference proceedings) Disclose to all
Shiga, M. and Mamitsuka, H. Shiga, M. and Mamitsuka, H. Variational Bayes Co-clustering with Auxiliary Information. Variational Bayes Co-clustering with Auxiliary Information. Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering (MultiClust 2013), Article No.5 , Article No.5 Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering (MultiClust 2013), Article No.5 2013/08 Refereed English Research paper(international conference proceedings) Disclose to all
Gu, J., Feng, W., Zeng, J., Mamitsuka, H. and Zhu, S. Gu, J., Feng, W., Zeng, J., Mamitsuka, H. and Zhu, S. Efficient Semi-supervised MEDLINE Document Clustering with MeSH Semantic and Global Content Constraints. Efficient Semi-supervised MEDLINE Document Clustering with MeSH Semantic and Global Content Constraints. IEEE Transactions on Cybernetics, 43, 4, 1265-1276 , 43, 4, 1265-1276 IEEE Transactions on Cybernetics, 43, 4, 1265-1276 2013/07 Refereed English Research paper(scientific journal) Disclose to all
Nakamura, A., Saito, T., Takigawa, I., Kudo, M. and Mamitsuka, H. Nakamura, A., Saito, T., Takigawa, I., Kudo, M. and Mamitsuka, H. Fast Algorithms for Finding a Minimum Repetition Representation of Strings and Trees. Fast Algorithms for Finding a Minimum Repetition Representation of Strings and Trees. Discrete Applied Mathematics, 161, 10-11, 1556-1575 , 161, 10-11, 1556-1575 Discrete Applied Mathematics, 161, 10-11, 1556-1575 2013/07 Refereed English Research paper(scientific journal) Disclose to all
Wicker, N., Nguyen, C. H. and Mamitsuka, H. Wicker, N., Nguyen, C. H. and Mamitsuka, H. A New Dissimilarity Measure for Comparing Labeled Graphs. A New Dissimilarity Measure for Comparing Labeled Graphs. Linear Algebra and Its Applications, 438, 5, 2331-2338 , 438, 5, 2331-2338 Linear Algebra and Its Applications, 438, 5, 2331-2338 2013/03 Refereed English Research paper(scientific journal) Disclose to all
Yamamoto, T., Nakayama, K., Hirano, H., Tomonaga, T., Ishihama, Y., Yamada, T., Kondo, T., Kodera, Y., Sato, Y., Araki, N., Mamitsuka, H. and Goshima, N. Yamamoto, T., Nakayama, K., Hirano, H., Tomonaga, T., Ishihama, Y., Yamada, T., Kondo, T., Kodera, Y., Sato, Y., Araki, N., Mamitsuka, H. and Goshima, N. Integrated View of the Human Chromosome X-centric Proteome Project. Integrated View of the Human Chromosome X-centric Proteome Project. Journal of Proteome Research, 12, 1, 58-61 , 12, 1, 58-61 Journal of Proteome Research, 12, 1, 58-61 2013/01 Refereed English Research paper(scientific journal) Disclose to all
Takigawa, I. and Mamitsuka, H. Takigawa, I. and Mamitsuka, H. Graph Mining: Procedure, Application to Drug Discovery and Recent Advance. Graph Mining: Procedure, Application to Drug Discovery and Recent Advance. Drug Discovery Today, 18, 1-2, 50-57 , 18, 1-2, 50-57 Drug Discovery Today, 18, 1-2, 50-57 2013/01 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H., DeLisi, C., and Kanehisa, M. Mamitsuka, H., DeLisi, C., and Kanehisa, M. Preface Preface Methods in Molecular Biology, 939, v-vii , 939, v-vii Methods in Molecular Biology, 939, v-vii 2013 English Disclose to all
duVerle, D. A. and Mamitsuka, H. duVerle, D. A. and Mamitsuka, H. Machine learning sequence classification techniques: Application to cysteine protease cleavage prediction Machine learning sequence classification techniques: Application to cysteine protease cleavage prediction Current Bioinformatics, 7, 4, 415-423 , 7, 4, 415-423 Current Bioinformatics, 7, 4, 415-423 2012/12 Refereed English Research paper(scientific journal) Disclose to all
Hancock. T. and Mamitsuka, H. Hancock. T. and Mamitsuka, H. Boosted Network Classifiers for Local Feature Selection. Boosted Network Classifiers for Local Feature Selection. IEEE Transactions on Neural Networks and Learning Systems, 23, 11, 1767-1778 , 23, 11, 1767-1778 IEEE Transactions on Neural Networks and Learning Systems, 23, 11, 1767-1778 2012/11 Refereed English Research paper(scientific journal) Disclose to all
Nguyen, C. H. and Mamitsuka, H. Nguyen, C. H. and Mamitsuka, H. Latent Feature Kernels for Link Prediction on Sparse Graphs. Latent Feature Kernels for Link Prediction on Sparse Graphs. IEEE Transactions on Neural Networks and Learning Systems, 23, 11, 1793-1804 , 23, 11, 1793-1804 IEEE Transactions on Neural Networks and Learning Systems, 23, 11, 1793-1804 2012/11 Refereed English Research paper(scientific journal) Disclose to all
Sorimachi, H., Mamitsuka, H. and Ono, Y. Sorimachi, H., Mamitsuka, H. and Ono, Y. Understanding the Substrate Specificity of Conventional Calpains. Understanding the Substrate Specificity of Conventional Calpains. Biological Chemistry, 393, 9, 853-871 , 393, 9, 853-871 Biological Chemistry, 393, 9, 853-871 2012/09 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. Mamitsuka, H. Mining from Protein-Protein Interactions. Mining from Protein-Protein Interactions. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2, 5, 400-410 , 2, 5, 400-410 Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2, 5, 400-410 2012/09 Refereed English Research paper(scientific journal) Disclose to all
duVerle, D. A. and Mamitsuka, H. duVerle, D. A. and Mamitsuka, H. A Review of Statistical Methods for Prediction of Proteolytic Cleavage. A Review of Statistical Methods for Prediction of Proteolytic Cleavage. Briefings in Bioinformatics, 13, 3, 337-349 , 13, 3, 337-349 Briefings in Bioinformatics, 13, 3, 337-349 2012/05 Refereed English Research paper(scientific journal) Disclose to all
Zhang, L, Udaka, K, Mamitsuka, H. and Zhu, S. Zhang, L, Udaka, K, Mamitsuka, H. and Zhu, S. Toward More Accurate Pan-Specific MHC-Peptide Binding Prediction: A Review of Current Methods and Tools. Toward More Accurate Pan-Specific MHC-Peptide Binding Prediction: A Review of Current Methods and Tools. Briefings in Bioinformatics, 13, 3, 350-364 , 13, 3, 350-364 Briefings in Bioinformatics, 13, 3, 350-364 2012/05 Refereed English Research paper(scientific journal) Disclose to all
Shiga, M. and Mamitsuka, H. Shiga, M. and Mamitsuka, H. A Variational Bayesian Framework for Clustering with Multiple Graphs. A Variational Bayesian Framework for Clustering with Multiple Graphs. IEEE Transactions on Knowledge and Data Engineering, 24, 4, 577-589 , 24, 4, 577-589 IEEE Transactions on Knowledge and Data Engineering, 24, 4, 577-589 2012/04 Refereed English Research paper(scientific journal) Disclose to all
Shiga, M. and Mamitsuka, H. Shiga, M. and Mamitsuka, H. Efficient Semi-Supervised Learning on Locally Informative Multiple Graphs. Efficient Semi-Supervised Learning on Locally Informative Multiple Graphs. Pattern Recognition, 45, 3, 1035-1049 , 45, 3, 1035-1049 Pattern Recognition, 45, 3, 1035-1049 2012/03 Refereed English Research paper(scientific journal) Disclose to all
Hancock, T, Wicker, N., Takigawa, I. and Mamitsuka, H. Hancock, T, Wicker, N., Takigawa, I. and Mamitsuka, H. Identifying Neighborhoods of Coordinated Gene Expression and Metabolite Profiles. Identifying Neighborhoods of Coordinated Gene Expression and Metabolite Profiles. PLoS ONE, 7, 2, e31345 , 7, 2, e31345 PLoS ONE, 7, 2, e31345 2012/02 Refereed English Research paper(scientific journal) Disclose to all
Zhang, L, Chen, Y., Wong, H.-S., Zhou, S., Mamitsuka, H. and Zhu, S. Zhang, L, Chen, Y., Wong, H.-S., Zhou, S., Mamitsuka, H. and Zhu, S. TEPITOPEpan: Extending TEPITOPE for Peptide Binding Prediction Covering over 700 HLA-DR Molecules. TEPITOPEpan: Extending TEPITOPE for Peptide Binding Prediction Covering over 700 HLA-DR Molecules. PLoS ONE, 7, 2, e30483 , 7, 2, e30483 PLoS ONE, 7, 2, e30483 2012/02 Refereed English Research paper(scientific journal) Disclose to all
Shiga, M. and Mamitsuka, H. Shiga, M. and Mamitsuka, H. Clustering Genes with Expression and Beyond. Clustering Genes with Expression and Beyond. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 1, 6, 496-511 , 1, 6, 496-511 Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 1, 6, 496-511 2011/11 Refereed English Research paper(scientific journal) Disclose to all
Hu, X., Mamitsuka, H. and Zhu, S. Hu, X., Mamitsuka, H. and Zhu, S. Ensemble Approaches for Improving HLA Class I-peptide Binding Prediction. Ensemble Approaches for Improving HLA Class I-peptide Binding Prediction. Journal of Immunological Methods, 374, 1-2, 47-52 , 374, 1-2, 47-52 Journal of Immunological Methods, 374, 1-2, 47-52 2011/11 Refereed English Research paper(scientific journal) Disclose to all
Nguyen, C. H. and Mamitsuka, H. Nguyen, C. H. and Mamitsuka, H. Kernels for Link Prediction with Latent Feature Models. Kernels for Link Prediction with Latent Feature Models. Lecture Notes in Computer Science (Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery of Databases (ECML/PKDD 2011)), 6912, II, 517-532 , 6912, II, 517-532 Lecture Notes in Computer Science (Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery of Databases (ECML/PKDD 2011)), 6912, II, 517-532 2011/09 Refereed English Research paper(international conference proceedings) Disclose to all
Nguyen, C. H. and Mamitsuka, H. Nguyen, C. H. and Mamitsuka, H. Discriminative Graph Embedding for Label Propagation. Discriminative Graph Embedding for Label Propagation. IEEE Transactions on Neural Networks, 22, 9, 1395-1405 , 22, 9, 1395-1405 IEEE Transactions on Neural Networks, 22, 9, 1395-1405 2011/09 Refereed English Research paper(scientific journal) Disclose to all
Natsume-Kitatani, Y., Shiga, M. and Mamitsuka, H. Natsume-Kitatani, Y., Shiga, M. and Mamitsuka, H. Genome-wide Integration on Transcription Factors, Histone Acetylation and Gene Expression Reveals Genes Co-regulated by Histone Modification Patterns. Genome-wide Integration on Transcription Factors, Histone Acetylation and Gene Expression Reveals Genes Co-regulated by Histone Modification Patterns. PLoS ONE, 6, 7, e22281 , 6, 7, e22281 PLoS ONE, 6, 7, e22281 2011/07 Refereed English Research paper(scientific journal) Disclose to all
Kayano, M., Takigawa, I., Shiga, M., Tsuda, K. and Mamitsuka, H. Kayano, M., Takigawa, I., Shiga, M., Tsuda, K. and Mamitsuka, H. ROS-DET: Robust Detector of Switching Mechanisms in Gene Expression. ROS-DET: Robust Detector of Switching Mechanisms in Gene Expression. Nucleic Acids Research, 39, 11, e74 , 39, 11, e74 Nucleic Acids Research, 39, 11, e74 2011/06 Refereed English Research paper(scientific journal) Disclose to all
duVerle, D., Ono, Y., Sorimachi, H. and Mamitsuka, H. duVerle, D., Ono, Y., Sorimachi, H. and Mamitsuka, H. Calpain Cleavage Prediction Using Multiple Kernel Learning. Calpain Cleavage Prediction Using Multiple Kernel Learning. PLoS ONE, 6, 5, e19035 , 6, 5, e19035 PLoS ONE, 6, 5, e19035 2011/05 Refereed English Research paper(scientific journal) Disclose to all
Shiga, M., Takigawa, I. and Mamitsuka, H. Shiga, M., Takigawa, I. and Mamitsuka, H. A Spectral Approach to Clustering Numerical Vectors as Nodes in a Network. A Spectral Approach to Clustering Numerical Vectors as Nodes in a Network. Pattern Recognition, 44, 2, 236-251 , 44, 2, 236-251 Pattern Recognition, 44, 2, 236-251 2011/02 Refereed English Research paper(scientific journal) Disclose to all
Takigawa, I. and Mamitsuka, H. Takigawa, I. and Mamitsuka, H. Efficiently Mining δ-tolerance Closed Frequent Subgraphs Efficiently Mining δ-tolerance Closed Frequent Subgraphs Machine Learning, 82, 2, 95-121 , 82, 2, 95-121 Machine Learning, 82, 2, 95-121 2011/02 Refereed English Research paper(scientific journal) Disclose to all
Takigawa, I., Tsuda, K. and Mamitsuka, H. Takigawa, I., Tsuda, K. and Mamitsuka, H. Mining Significant Substructure Pairs for Interpreting Polypharmacology in Drug-target Network. Mining Significant Substructure Pairs for Interpreting Polypharmacology in Drug-target Network. PLoS ONE, 6, 2, e16999 , 6, 2, e16999 PLoS ONE, 6, 2, e16999 2011/02 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. Mamitsuka, H. Glycoinformatics: Data Mining-based Approaches. Glycoinformatics: Data Mining-based Approaches. Chimia, 65, 1-2, 10-13 , 65, 1-2, 10-13 Chimia, 65, 1-2, 10-13 2011/01 English Research paper(scientific journal) Disclose to all
Takigawa, I., Hashimoto, K., Shiga, M., Kanehisa, M. and Mamitsuka, H. Takigawa, I., Hashimoto, K., Shiga, M., Kanehisa, M. and Mamitsuka, H. Mining Patterns from Glycan Structures. Mining Patterns from Glycan Structures. Proceedings of the International Beilstein Symposium on Glyco-Bioinformatics, 13-24 , 13-24 Proceedings of the International Beilstein Symposium on Glyco-Bioinformatics, 13-24 2010/12 English Research paper(international conference proceedings) Disclose to all
Nakamura, A., Saito, T., Takigawa, I., Mamitsuka, H. and Kudo, M. Nakamura, A., Saito, T., Takigawa, I., Mamitsuka, H. and Kudo, M. Algorithms for Finding a Minimum Repetition Representation of a String. Algorithms for Finding a Minimum Repetition Representation of a String. Lecture Notes in Computer Science (Proceedings of the Seventeenth Symposium on String Processing and Information Retrieval (SPIRE 2010)), 6393, 185-190 , 6393, 185-190 Lecture Notes in Computer Science (Proceedings of the Seventeenth Symposium on String Processing and Information Retrieval (SPIRE 2010)), 6393, 185-190 2010/10 Refereed English Research paper(international conference proceedings) Disclose to all
Li, L., Ching, W-K., Chan, Y-M. and Mamitsuka, H. Li, L., Ching, W-K., Chan, Y-M. and Mamitsuka, H. On Network-based Kernel Methods for Protein-Protein Interactions with Applications in Protein Functions Prediction. On Network-based Kernel Methods for Protein-Protein Interactions with Applications in Protein Functions Prediction. Journal of Systems Science and Complexity, 23, 5, 917-930 , 23, 5, 917-930 Journal of Systems Science and Complexity, 23, 5, 917-930 2010/10 Refereed English Research paper(scientific journal) Disclose to all
Shiga, M. and Mamitsuka, H. Shiga, M. and Mamitsuka, H. Variational Bayes Learning over Multiple Graphs. Variational Bayes Learning over Multiple Graphs. Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010), 166-171 , 166-171 Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010), 166-171 2010/09 Refereed English Research paper(international conference proceedings) Disclose to all
Lam, T. H., Mamitsuka, H., Ren, E. C., and Tong, J. C. Lam, T. H., Mamitsuka, H., Ren, E. C., and Tong, J. C. TAP Hunter: A SVM-based System for Predicting TAP Ligands using Local Description of Amino Acid Sequence. TAP Hunter: A SVM-based System for Predicting TAP Ligands using Local Description of Amino Acid Sequence. Immunome Research (Proceedings of the Ninth International Conference on Bioinformatics (InCoB 2010)), 6, SUPPL. 1, S6 , 6, SUPPL. 1, S6 Immunome Research (Proceedings of the Ninth International Conference on Bioinformatics (InCoB 2010)), 6, SUPPL. 1, S6 2010/09 Refereed English Research paper(international conference proceedings) Disclose to all
Hancock, T., Takigawa, I. and Mamitsuka, H. Hancock, T., Takigawa, I. and Mamitsuka, H. Mining Metabolic Pathways through Gene Expression. Mining Metabolic Pathways through Gene Expression. Bioinformatics, 26, 17, 2128-2135 , 26, 17, 2128-2135 Bioinformatics, 26, 17, 2128-2135 2010/09 Refereed English Research paper(scientific journal) Disclose to all
Kayano, M., Takigawa, I., Shiga, M., Tsuda, K. and Mamitsuka, H. Kayano, M., Takigawa, I., Shiga, M., Tsuda, K. and Mamitsuka, H. On the Performance of Methods for Finding a Switching Mechanism in Gene Expression. On the Performance of Methods for Finding a Switching Mechanism in Gene Expression. Genome Informatics (Proceedings of the Tenth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2010)), 24, 69-83 , 24, 69-83 Genome Informatics (Proceedings of the Tenth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2010)), 24, 69-83 2010/07 Refereed English Research paper(international conference proceedings) Disclose to all
Hu, X., Zhou, W., Udaka, K., Mamitsuka, H. and Zhu, S. Hu, X., Zhou, W., Udaka, K., Mamitsuka, H. and Zhu, S. MetaMHC: A Meta Approach to Predict Peptides Binding to MHC Molecules. MetaMHC: A Meta Approach to Predict Peptides Binding to MHC Molecules. Nucleic Acids Research, 38, W474-W479 , 38, W474-W479 Nucleic Acids Research, 38, W474-W479 2010/07 Refereed English Research paper(scientific journal) Disclose to all
Hancock, T. and Mamitsuka, H. Hancock, T. and Mamitsuka, H. Boosted Optimization for Network Classification. Boosted Optimization for Network Classification. JMLR Workshop and Conference Proceedings (Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010)), 9, 305-312 , 9, 305-312 JMLR Workshop and Conference Proceedings (Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010)), 9, 305-312 2010/05 Refereed English Research paper(international conference proceedings) Disclose to all
Hancock, T. and Mamitsuka, H. Hancock, T. and Mamitsuka, H. A Markov Classification Model for Metabolic Pathways. A Markov Classification Model for Metabolic Pathways. Algorithms for Molecular Biology, 5, 1, 10 , 5, 1, 10 Algorithms for Molecular Biology, 5, 1, 10 2010/01 Refereed English Research paper(scientific journal) Disclose to all
Wan, R., Kiseleva, L., Harada, H., Mamitsuka, H. and Horton, P. Wan, R., Kiseleva, L., Harada, H., Mamitsuka, H. and Horton, P. HAMSTER: Visualizing Microarray Experiments as a Set of Minimum Spanning Trees. HAMSTER: Visualizing Microarray Experiments as a Set of Minimum Spanning Trees. Source Code for Biology and Medicine, 4, 1, Article 8 , 4, 1, Article 8 Source Code for Biology and Medicine, 4, 1, Article 8 2009/12 Refereed English Research paper(scientific journal) Disclose to all
Kayano, M., Takigawa, I., Shiga, M., Tsuda, K. and Mamitsuka, H. Kayano, M., Takigawa, I., Shiga, M., Tsuda, K. and Mamitsuka, H. Efficiently Finding Genome-wide Three-way Gene Interactions from Transcript- and Genotype-Data. Efficiently Finding Genome-wide Three-way Gene Interactions from Transcript- and Genotype-Data. Bioinformatics, 25, 21, 2735-2743 , 25, 21, 2735-2743 Bioinformatics, 25, 21, 2735-2743 2009/11 Refereed English Research paper(scientific journal) Disclose to all
Wan, R, Vo, A. N. and Mamitsuka, H. Wan, R, Vo, A. N. and Mamitsuka, H. Efficient Probabilistic Latent Semantic Analysis Through Parallelization. Efficient Probabilistic Latent Semantic Analysis Through Parallelization. Lecture Notes in Computer Science (Proceedings of the Fifth Asian Information Retrieval Symposium (AIRS 2009)), 5839, 432-443 , 5839, 432-443 Lecture Notes in Computer Science (Proceedings of the Fifth Asian Information Retrieval Symposium (AIRS 2009)), 5839, 432-443 2009/10 Refereed English Research paper(international conference proceedings) Disclose to all
Hancock, T. and Mamitsuka, H. Hancock, T. and Mamitsuka, H. A Markov Classification Model for Metabolic Pathways. A Markov Classification Model for Metabolic Pathways. Lecture Notes in Computer Science (Proceedings of the Ninth Workshop on Algorithms in Bioinformatics (WABI 2009)), 5724, 121-132 , 5724, 121-132 Lecture Notes in Computer Science (Proceedings of the Ninth Workshop on Algorithms in Bioinformatics (WABI 2009)), 5724, 121-132 2009/09 Refereed English Research paper(international conference proceedings) Disclose to all
Zhu, S., Takigawa, I., Zeng, J. and Mamitsuka, H. Zhu, S., Takigawa, I., Zeng, J. and Mamitsuka, H. Field Independent Probabilistic Model for Clustering Multi-Field Documents. Field Independent Probabilistic Model for Clustering Multi-Field Documents. Information Processing and Management, 45, 5, 555-570 , 45, 5, 555-570 Information Processing and Management, 45, 5, 555-570 2009/09 Refereed English Research paper(scientific journal) Disclose to all
Zhu, S., Zeng, J. and Mamitsuka, H. Zhu, S., Zeng, J. and Mamitsuka, H. Enhancing MEDLINE Document Clustering by Incorporating MeSH Semantic Similarity. Enhancing MEDLINE Document Clustering by Incorporating MeSH Semantic Similarity. Bioinformatics, 25, 15, 1944-1951 , 25, 15, 1944-1951 Bioinformatics, 25, 15, 1944-1951 2009/08 Refereed English Research paper(scientific journal) Disclose to all
Hancock, T. and Mamitsuka, H. Hancock, T. and Mamitsuka, H. Active Pathway Identification and Classification with Probabilistic Ensembles. Active Pathway Identification and Classification with Probabilistic Ensembles. Genome Informatics (Proceedings of the Ninth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2009)), 22, 30-40 , 22, 30-40 Genome Informatics (Proceedings of the Ninth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2009)), 22, 30-40 2009/07 English Research paper(international conference proceedings) Disclose to all
duVerle, D. A,, Takigawa, I., Ono, Y., Sorimachi, H. and Mamitsuka, H. duVerle, D. A,, Takigawa, I., Ono, Y., Sorimachi, H. and Mamitsuka, H. CaMPDB: a Resource for Calpain and Modulatory Proteolysis. CaMPDB: a Resource for Calpain and Modulatory Proteolysis. Genome Informatics (Proceedings of the Ninth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2009)), 22, 202-214 , 22, 202-214 Genome Informatics (Proceedings of the Ninth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2009)), 22, 202-214 2009/07 English Research paper(international conference proceedings) Disclose to all
Li, L., Shiga, M., Ching, W.-K. and Mamitsuka, H. Li, L., Shiga, M., Ching, W.-K. and Mamitsuka, H. Annotating Gene Functions with Integrative Spectral Clustering on Microarray Expressions and Sequences. Annotating Gene Functions with Integrative Spectral Clustering on Microarray Expressions and Sequences. Genome Informatics (Proceedings of the Ninth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2009)), 22, 95-120 , 22, 95-120 Genome Informatics (Proceedings of the Ninth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2009)), 22, 95-120 2009/07 English Research paper(international conference proceedings) Disclose to all
Hashimoto, K., Takigawa, I., Shiga, M., Kanehisa, M. and Mamitsuka, H. Hashimoto, K., Takigawa, I., Shiga, M., Kanehisa, M. and Mamitsuka, H. Mining Significant Tree Patterns in Carbohydrate Sugar Chains. Mining Significant Tree Patterns in Carbohydrate Sugar Chains. Bioinformatics (Proceedings of the Seventh European Conference on Computational Biology (ECCB 2008)), 24, 16, i167-i173 , 24, 16, i167-i173 Bioinformatics (Proceedings of the Seventh European Conference on Computational Biology (ECCB 2008)), 24, 16, i167-i173 2008/08 Refereed English Research paper(international conference proceedings) Disclose to all
Hancock, T. and Mamitsuka, H. Hancock, T. and Mamitsuka, H. Semi-Supervised Graph Partitioning with Decision Trees. Semi-Supervised Graph Partitioning with Decision Trees. Genome Informatics (Proceedings of the Eighth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2008)), 20, 102-111 , 20, 102-111 Genome Informatics (Proceedings of the Eighth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2008)), 20, 102-111 2008/06 English Research paper(international conference proceedings) Disclose to all
Wan,, R. Wheelock, A. and Mamitsuka, H. Wan,, R. Wheelock, A. and Mamitsuka, H. A Framework for Determining Outlying Microarray Experiments. A Framework for Determining Outlying Microarray Experiments. Genome Informatics (Proceedings of the Eighth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2008)), 20, 64-76 , 20, 64-76 Genome Informatics (Proceedings of the Eighth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2008)), 20, 64-76 2008/06 English Research paper(international conference proceedings) Disclose to all
Hashimoto, K., Aoki-Kinoshita, K. F., Ueda, N., Kanehisa, M. and Mamitsuka, H. Hashimoto, K., Aoki-Kinoshita, K. F., Ueda, N., Kanehisa, M. and Mamitsuka, H. A New Efficient Probabilistic Model for Mining Labeled Ordered Trees Applied to Glycobiology. A New Efficient Probabilistic Model for Mining Labeled Ordered Trees Applied to Glycobiology. ACM Transactions on Knowledge Discovery from Data, 2, 1, Article No. 6 , 2, 1, Article No. 6 ACM Transactions on Knowledge Discovery from Data, 2, 1, Article No. 6 2008/03 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. Mamitsuka, H. Informatic Innovations in Glycobiology: Relevance to Drug Discovery. Informatic Innovations in Glycobiology: Relevance to Drug Discovery. Drug Discovery Today, 13, 3-4, 118-123 , 13, 3-4, 118-123 Drug Discovery Today, 13, 3-4, 118-123 2008/02 Refereed English Research paper(scientific journal) Disclose to all
Takigawa, I. and Mamitsuka, H. Takigawa, I. and Mamitsuka, H. Probabilistic Path Ranking Based on Adjacent Pairwise Coexpression for Metabolic Transcripts Analysis. Probabilistic Path Ranking Based on Adjacent Pairwise Coexpression for Metabolic Transcripts Analysis. Bioinformatics, 24, 2, 250-257 , 24, 2, 250-257 Bioinformatics, 24, 2, 250-257 2008/01 Refereed English Disclose to all
Kadowaki, T., Wheelock, C. E., Adachi, T., Kudo, T., Okamoto, S., Tanaka, N., Tonomura, K., Tsujimoto, G., Mamitsuka, H., Goto, S. and Kanehisa, M. Kadowaki, T., Wheelock, C. E., Adachi, T., Kudo, T., Okamoto, S., Tanaka, N., Tonomura, K., Tsujimoto, G., Mamitsuka, H., Goto, S. and Kanehisa, M. Identification of Endocrine Disruptor Biodegradation by Integration of Structure-activity Relationship with Pathway Analysis. Identification of Endocrine Disruptor Biodegradation by Integration of Structure-activity Relationship with Pathway Analysis. Environmental Science and Technology, 41, 23, 7997-8003 , 41, 23, 7997-8003 Environmental Science and Technology, 41, 23, 7997-8003 2007/12 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. and Abe, N. Mamitsuka, H. and Abe, N. Active Ensemble Learning: Application to Data Mining and Bioinformatics. Active Ensemble Learning: Application to Data Mining and Bioinformatics. Systems and Computers in Japan, 38, 11, 100-108 , 38, 11, 100-108 Systems and Computers in Japan, 38, 11, 100-108 2007/10 Refereed English Research paper(scientific journal) Disclose to all
Shiga, M., Takigawa, I. and Mamitsuka, H. Shiga, M., Takigawa, I. and Mamitsuka, H. A Spectral Clustering Approach to Optimally Combining Numerical Vectors with a Modular Network. A Spectral Clustering Approach to Optimally Combining Numerical Vectors with a Modular Network. Proceedings of the Thirteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD 2007), 647-656 , 647-656 Proceedings of the Thirteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD 2007), 647-656 2007/08 Refereed English Research paper(international conference proceedings) Disclose to all
Yoneya, T. and Mamitsuka, H. Yoneya, T. and Mamitsuka, H. PURE: A PubMed Article Recommendation System Based on Content-based Filtering. PURE: A PubMed Article Recommendation System Based on Content-based Filtering. Genome Informatics (Proceedings of the Seventh Annual Workshop on Bioinformatics and Systems Biology (IBSB 2007)), 18, 267-276 , 18, 267-276 Genome Informatics (Proceedings of the Seventh Annual Workshop on Bioinformatics and Systems Biology (IBSB 2007)), 18, 267-276 2007/08 Refereed English Research paper(international conference proceedings) Disclose to all
Shiga, M., Takigawa, I. and Mamitsuka, H. Shiga, M., Takigawa, I. and Mamitsuka, H. Annotating Gene Function by Combining Expression Data with a Modular Gene Network. Annotating Gene Function by Combining Expression Data with a Modular Gene Network. Bioinformatics (Proceedings of the Fifteenth International Conference on Intelligent Systems for Molecular Biology (ISMB 2007)), 23, 13, i468-i478 , 23, 13, i468-i478 Bioinformatics (Proceedings of the Fifteenth International Conference on Intelligent Systems for Molecular Biology (ISMB 2007)), 23, 13, i468-i478 2007/07 Refereed English Research paper(international conference proceedings) Disclose to all
Zhu, S., Takigawa, I., Zhang, S. and Mamitsuka, H. Zhu, S., Takigawa, I., Zhang, S. and Mamitsuka, H. A Probabilistic Model for Clustering Text Documents with Multiple Fields. A Probabilistic Model for Clustering Text Documents with Multiple Fields. Lecture Notes in Computer Science (Proceedings of the Twenty-Ninth European Conference on Information Retrieval (ECIR 2007)), 4425, 331-342 , 4425, 331-342 Lecture Notes in Computer Science (Proceedings of the Twenty-Ninth European Conference on Information Retrieval (ECIR 2007)), 4425, 331-342 2007/04 Refereed English Research paper(international conference proceedings) Disclose to all
Yoneya, T. and Mamitsuka, H. Yoneya, T. and Mamitsuka, H. A Hidden Markov Model-based Approach for Identifying Timing Differences in Gene Expression under Different Experiment. A Hidden Markov Model-based Approach for Identifying Timing Differences in Gene Expression under Different Experiment. Bioinformatics, 23, 7, 842-849 , 23, 7, 842-849 Bioinformatics, 23, 7, 842-849 2007/04 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. Mamitsuka, H. Selecting Features in Microarray Classification Using ROC Curves. Selecting Features in Microarray Classification Using ROC Curves. Pattern Recognition, 39, 12, 2393-2404 , 39, 12, 2393-2404 Pattern Recognition, 39, 12, 2393-2404 2006/12 Refereed English Research paper(scientific journal) Disclose to all
Wan, R., Takigawa, I. and Mamitsuka, H. Wan, R., Takigawa, I. and Mamitsuka, H. Applying Gaussian Distribution-dependent Criteria to Decision Trees for High-Dimensional Microarray Data. Applying Gaussian Distribution-dependent Criteria to Decision Trees for High-Dimensional Microarray Data. Lecture Notes in Computer Science (Proceedings of 2006 VLDB Workshop on Data Mining in Bioinformatics), 4316, 40-49 , 4316, 40-49 Lecture Notes in Computer Science (Proceedings of 2006 VLDB Workshop on Data Mining in Bioinformatics), 4316, 40-49 2006/09 Refereed English Research paper(international conference proceedings) Disclose to all
Hashimoto, K., Aoki-Kinoshita, K. F., Ueda, N., Kanehisa, M. and Mamitsuka, H. Hashimoto, K., Aoki-Kinoshita, K. F., Ueda, N., Kanehisa, M. and Mamitsuka, H. A New Efficient Probabilistic Model for Mining Labeled Ordered Trees. A New Efficient Probabilistic Model for Mining Labeled Ordered Trees. Proceedings of the Twelfth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD 2006), 177-186 , 177-186 Proceedings of the Twelfth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD 2006), 177-186 2006/08 Refereed English Research paper(international conference proceedings) Disclose to all
Aoki-Kinoshita, K. F., Ueda, N., Mamitsuka, H. and Kanehisa, M. Aoki-Kinoshita, K. F., Ueda, N., Mamitsuka, H. and Kanehisa, M. ProfilePSTMM: Capturing Tree-structure Motifs in Carbohydrate Sugar Chains. ProfilePSTMM: Capturing Tree-structure Motifs in Carbohydrate Sugar Chains. Bioinformatics (Proceedings of the Fourteenth International Conference on Intelligent Systems for Molecular Biology (ISMB 2006)), 22, 14, e25-e34 , 22, 14, e25-e34 Bioinformatics (Proceedings of the Fourteenth International Conference on Intelligent Systems for Molecular Biology (ISMB 2006)), 22, 14, e25-e34 2006/07 Refereed English Research paper(international conference proceedings) Disclose to all
Zhu, S., Udaka, K., Sidney, J., Sette, A., Aoki-Kinoshita, K. F. and Mamitsuka, H. Zhu, S., Udaka, K., Sidney, J., Sette, A., Aoki-Kinoshita, K. F. and Mamitsuka, H. Improving MHC Binding Peptide Prediction by Incorporating Binding Data of Auxiliary MHC Molecules. Improving MHC Binding Peptide Prediction by Incorporating Binding Data of Auxiliary MHC Molecules. Bioinformatics, 22, 13, 1648-1655 , 22, 13, 1648-1655 Bioinformatics, 22, 13, 1648-1655 2006/07 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. Mamitsuka, H. Query-Learning-Based Iterative Feature-Subset Selection for Learning from High-Dimensional Data Sets. Query-Learning-Based Iterative Feature-Subset Selection for Learning from High-Dimensional Data Sets. Knowledge and Information Systems, 9, 1, 91-108 , 9, 1, 91-108 Knowledge and Information Systems, 9, 1, 91-108 2006/01 Refereed English Research paper(scientific journal) Disclose to all
Zhu, S., Okuno, Y., Tsujimoto, G. and Mamitsuka, H. Zhu, S., Okuno, Y., Tsujimoto, G. and Mamitsuka, H. Application of a New Probabilistic Model for Mining Implicit Associated Cancer Genes from OMIM and Medline. Application of a New Probabilistic Model for Mining Implicit Associated Cancer Genes from OMIM and Medline. Cancer Informatics, 2, 361-371 , 2, 361-371 Cancer Informatics, 2, 361-371 2006 Refereed English Disclose to all
Cios, J. K., Mamitsuka, H., Nagashima, T. and Tadeusiewicz, R. Cios, J. K., Mamitsuka, H., Nagashima, T. and Tadeusiewicz, R. Computational Intelligence in Soving Bioinformatics Problems. Computational Intelligence in Soving Bioinformatics Problems. Artificial Intelligence in Medicine, 35, 1-2, 1-8 , 35, 1-2, 1-8 Artificial Intelligence in Medicine, 35, 1-2, 1-8 2005/09 English Research paper(scientific journal) Disclose to all
Mamitsuka, H. Mamitsuka, H. Finding the Biologically Optimum Alignment of Multiple Sequences. Finding the Biologically Optimum Alignment of Multiple Sequences. Artificial Intelligence in Medicine, 35, 1-2, 9-18 , 35, 1-2, 9-18 Artificial Intelligence in Medicine, 35, 1-2, 9-18 2005/09 Refereed English Research paper(scientific journal) Disclose to all
Zhu, S., Okuno, Y., Tsujimoto, G. and Mamitsuka, H. Zhu, S., Okuno, Y., Tsujimoto, G. and Mamitsuka, H. A Probabilistic Model for Mining Implicit "Chemical Compound - Gene" Relations from Literature. A Probabilistic Model for Mining Implicit "Chemical Compound - Gene" Relations from Literature. Bioinformatics (Proceedings of the Fourth European Conference on Computational Biology (ECCB/JBI2005)), 21, Suppl. 2, ii245-ii251 , 21, Suppl. 2, ii245-ii251 Bioinformatics (Proceedings of the Fourth European Conference on Computational Biology (ECCB/JBI2005)), 21, Suppl. 2, ii245-ii251 2005/09 Refereed English Research paper(international conference proceedings) Disclose to all
Yamada, T., Kawashima, S., Mamitsuka, H., Goto, S. and Kanehisa, M. Yamada, T., Kawashima, S., Mamitsuka, H., Goto, S. and Kanehisa, M. Comprehensive Analysis and Prediction of Synthetic Lethality Using Subcellular Locations. Comprehensive Analysis and Prediction of Synthetic Lethality Using Subcellular Locations. Genome Informatics (Proceedings of the Fourth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2005)), 16, 1, 150-158 , 16, 1, 150-158 Genome Informatics (Proceedings of the Fourth Annual Workshop on Bioinformatics and Systems Biology (IBSB 2005)), 16, 1, 150-158 2005/08 Refereed English Research paper(international conference proceedings) Disclose to all
Ueda, N., Aoki-Kinoshita, K. F., Yamaguchi, A., Akutsu, T. and Mamitsuka, H. Ueda, N., Aoki-Kinoshita, K. F., Yamaguchi, A., Akutsu, T. and Mamitsuka, H. A Probabilistic Model for Mining Labeled Ordered Trees: Capturing Patterns in Carbohydrate Sugar Chains. A Probabilistic Model for Mining Labeled Ordered Trees: Capturing Patterns in Carbohydrate Sugar Chains. IEEE Transactions on Knowledge and Data Engineering, 17, 8, 1051-1064 , 17, 8, 1051-1064 IEEE Transactions on Knowledge and Data Engineering, 17, 8, 1051-1064 2005/08 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. Mamitsuka, H. Mining New Protein-Protein Interactions. Mining New Protein-Protein Interactions. IEEE Engineering in Medicine and Biology Magazine, 24, 3, 103-108 , 24, 3, 103-108 IEEE Engineering in Medicine and Biology Magazine, 24, 3, 103-108 2005/05 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. Mamitsuka, H. Essential Latent Knowledge for Protein-Protein Interactions: Analysis by Unsupervised Learning Approach. Essential Latent Knowledge for Protein-Protein Interactions: Analysis by Unsupervised Learning Approach. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2, 2, 119-130 , 2, 2, 119-130 IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2, 2, 119-130 2005/04 Refereed English Research paper(scientific journal) Disclose to all
Aoki, K. F., Mamitsuka, H., Akutsu, T. and Kanehisa, M. Aoki, K. F., Mamitsuka, H., Akutsu, T. and Kanehisa, M. A Score Matrix to Reveal the Hidden Links in Glycans. A Score Matrix to Reveal the Hidden Links in Glycans. Bioinformatics, 21, 8, 1457-1463 , 21, 8, 1457-1463 Bioinformatics, 21, 8, 1457-1463 2005/04 Refereed English Research paper(scientific journal) Disclose to all
Wan, R., Mamitsuka, H. and Aoki, K. F. Wan, R., Mamitsuka, H. and Aoki, K. F. Cleaning Microarray Expression Data Using Markov Random Field Based-on Profile Similarity. Cleaning Microarray Expression Data Using Markov Random Field Based-on Profile Similarity. Proceedings of the Twentieth ACM Symposium on Applied Computing (SAC2005), 206-207 , 206-207 Proceedings of the Twentieth ACM Symposium on Applied Computing (SAC2005), 206-207 2005/03 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka, H. Mamitsuka, H. Efficient Unsupervised Mining from Noisy Co-occurrence Data Efficient Unsupervised Mining from Noisy Co-occurrence Data New Mathematics and Natural Computation, 1, 1, 173-193 , 1, 1, 173-193 New Mathematics and Natural Computation, 1, 1, 173-193 2005/03 Refereed English Research paper(scientific journal) Disclose to all
Igarashi, Y., Aoki, K. F., Mamitsuka, H., Kuma, K. and Kanehisa, M. Igarashi, Y., Aoki, K. F., Mamitsuka, H., Kuma, K. and Kanehisa, M. The Evolutionary Repertoires of the Eukaryotic-type ABC Transporters in terms of the Phylogeny of ATP-binding Domains in Eukaryotes and Prokaryotes. The Evolutionary Repertoires of the Eukaryotic-type ABC Transporters in terms of the Phylogeny of ATP-binding Domains in Eukaryotes and Prokaryotes. Molecular Biology and Evolution, 21, 11, 2149-2160 , 21, 11, 2149-2160 Molecular Biology and Evolution, 21, 11, 2149-2160 2004/11 Refereed English Disclose to all
Yamaguchi, A., Aoki, K. F. and Mamitsuka, H. Yamaguchi, A., Aoki, K. F. and Mamitsuka, H. Finding the Maximum Common Subgraph of a Partial k-Tree and a Graph with a Polynomially Bounded Number of Spanning Trees. Finding the Maximum Common Subgraph of a Partial k-Tree and a Graph with a Polynomially Bounded Number of Spanning Trees. Information Processing Letters, 92, 2, 57-63 , 92, 2, 57-63 Information Processing Letters, 92, 2, 57-63 2004/10 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. and Okuno, Y. Mamitsuka, H. and Okuno, Y. A Hierarchical Mixture of Markov Models for Finding Biologically Active Metabolic Paths using Gene Expression and Protein Classes A Hierarchical Mixture of Markov Models for Finding Biologically Active Metabolic Paths using Gene Expression and Protein Classes Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB 2004), 341-352 , 341-352 Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB 2004), 341-352 2004/08 Refereed English Research paper(international conference proceedings) Disclose to all
Aoki, K. F., Ueda, N., Yamaguchi, A., Kanehisa, M., Akutsu, T. and Mamitsuka, H. Aoki, K. F., Ueda, N., Yamaguchi, A., Kanehisa, M., Akutsu, T. and Mamitsuka, H. Application of a New Probabilistic Model for Recognizing Complex Patterns in Glycans. Application of a New Probabilistic Model for Recognizing Complex Patterns in Glycans. Bioinformatics (Proceedings of the Twelfth International Conference on Intelligent Systems for Molecular Biology (ISMB/ECCB2004)), 20, SUPPL. 1, i6-i14 , 20, SUPPL. 1, i6-i14 Bioinformatics (Proceedings of the Twelfth International Conference on Intelligent Systems for Molecular Biology (ISMB/ECCB2004)), 20, SUPPL. 1, i6-i14 2004/08 Refereed English Research paper(international conference proceedings) Disclose to all
Aoki, K. F., Yamaguchi, A., Ueda, H., Akutsu, T., Mamitsuka, H., Goto, S. and Kanehisa, M. Aoki, K. F., Yamaguchi, A., Ueda, H., Akutsu, T., Mamitsuka, H., Goto, S. and Kanehisa, M. KCaM (KEGG Carbohydrate Matcher): A Software Tool for Analyzing the Structures of Carbohydrate Sugar Chains. KCaM (KEGG Carbohydrate Matcher): A Software Tool for Analyzing the Structures of Carbohydrate Sugar Chains. Nucleic Acids Research, 32, Suppl. 2, W267-W272 , 32, Suppl. 2, W267-W272 Nucleic Acids Research, 32, Suppl. 2, W267-W272 2004/07 Refereed English Research paper(scientific journal) Disclose to all
Aoki, K. F., Ueda, N., Yamaguchi, A., Akutsu, T., Kanehisa, M. and Mamitsuka, H. Aoki, K. F., Ueda, N., Yamaguchi, A., Akutsu, T., Kanehisa, M. and Mamitsuka, H. Managing and Analyzing Carbohydrate Data. Managing and Analyzing Carbohydrate Data. ACM SIGMOD Record, 33, 2, 33-38 , 33, 2, 33-38 ACM SIGMOD Record, 33, 2, 33-38 2004/06 Refereed English Research paper(scientific journal) Disclose to all
Ueda, N., Aoki, K. F. and Mamitsuka, H. Ueda, N., Aoki, K. F. and Mamitsuka, H. A General Probabilistic Framework for Mining Labeled Ordered Trees. A General Probabilistic Framework for Mining Labeled Ordered Trees. Proceedings of the Fourth SIAM International Conference on Data Mining (SDM 2004), 357-368 , 357-368 Proceedings of the Fourth SIAM International Conference on Data Mining (SDM 2004), 357-368 2004/04 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka, H. Mamitsuka, H. Finding the Maximum Common Subgraph of a Partial k-Tree and a Graph with a Polynomially Bounded Number of Spanning Trees. Finding the Maximum Common Subgraph of a Partial k-Tree and a Graph with a Polynomially Bounded Number of Spanning Trees. Lecture Notes in Computer Science (Proceedings of the Fourteenth International Symposium on Algorithm and Computation (ISAAC 2003)), 2906, 58-67 , 2906, 58-67 Lecture Notes in Computer Science (Proceedings of the Fourteenth International Symposium on Algorithm and Computation (ISAAC 2003)), 2906, 58-67 2003/12 Refereed English Research paper(international conference proceedings) Disclose to all
Aoki, K. F., Yamaguchi, A., Okuno, Y., Akutsu, T., Ueda, N., Kanehisa, M. and Mamitsuka, H. Aoki, K. F., Yamaguchi, A., Okuno, Y., Akutsu, T., Ueda, N., Kanehisa, M. and Mamitsuka, H. Efficient Tree Matching Methods for Accurate Carbohydrate Database Queries. Efficient Tree Matching Methods for Accurate Carbohydrate Database Queries. Genome Informatics (Proceedings of the Fourteenth International Conference on Genome Informatics), 14, 134-143 , 14, 134-143 Genome Informatics (Proceedings of the Fourteenth International Conference on Genome Informatics), 14, 134-143 2003/12 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka, H., Okuno, Y. and Yamaguchi, A. Mamitsuka, H., Okuno, Y. and Yamaguchi, A. Mining Biologically Active Patterns in Metabolic Pathways using Microarray Expression Profiles Mining Biologically Active Patterns in Metabolic Pathways using Microarray Expression Profiles ACM SIGKDD Explorations, 5, 2, 113-121 , 5, 2, 113-121 ACM SIGKDD Explorations, 5, 2, 113-121 2003/12 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. Mamitsuka, H. Efficient Mining from Heterogeneous Data Sets for Predicting Protein-Protein Interactions Efficient Mining from Heterogeneous Data Sets for Predicting Protein-Protein Interactions Proceedings of the Fourteenth International Workhop on Database and Expert Systems Applications, 32-36 , 32-36 Proceedings of the Fourteenth International Workhop on Database and Expert Systems Applications, 32-36 2003/09 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka, H. Mamitsuka, H. Hierarchical Latent Knowledge Analysis for Co-occurrence Data. Hierarchical Latent Knowledge Analysis for Co-occurrence Data. Proceedings of the Twenties International Conference on Machine Learning (ICML 2003), 504-511 , 504-511 Proceedings of the Twenties International Conference on Machine Learning (ICML 2003), 504-511 2003/08 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka, H. Mamitsuka, H. Selective Sampling with a Hierarchical Latent Variable Model. Selective Sampling with a Hierarchical Latent Variable Model. Lecture Notes in Computer Science (Proceedings of the Fifth International Symposium on Intelligent Data Analysis (IDA 2003)), 2810, 352-363 , 2810, 352-363 Lecture Notes in Computer Science (Proceedings of the Fifth International Symposium on Intelligent Data Analysis (IDA 2003)), 2810, 352-363 2003/08 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka, H. Mamitsuka, H. Efficient Unsupervised Mining from Noisy Data Sets: Application to Clustering Co-occurrence Data. Efficient Unsupervised Mining from Noisy Data Sets: Application to Clustering Co-occurrence Data. Proceedings of the Third SIAM International Conference on Data Mining (SDM 2003), 239-243 , 239-243 Proceedings of the Third SIAM International Conference on Data Mining (SDM 2003), 239-243 2003/05 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka, H. Mamitsuka, H. Empirical Evaluation of Ensemble Feature Subset Selection Methods for Learning from a High-Dimensional Database in Drug Design Empirical Evaluation of Ensemble Feature Subset Selection Methods for Learning from a High-Dimensional Database in Drug Design Proceedings of the Third IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2003), 253-257 , 253-257 Proceedings of the Third IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2003), 253-257 2003/03 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka, H. Mamitsuka, H. Detecting Experimental Noise in Protein-Protein Interactions with Iterative Sampling and Model-based Clustering. Detecting Experimental Noise in Protein-Protein Interactions with Iterative Sampling and Model-based Clustering. Proceedings of the Third IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2003), 385-392 , 385-392 Proceedings of the Third IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2003), 385-392 2003/03 Refereed English Research paper(international conference proceedings) Disclose to all
Udaka, K., Mamitsuka, H., Nakaseko, H. and Abe, N. Udaka, K., Mamitsuka, H., Nakaseko, H. and Abe, N. Empirical Evaluation of a Dynamic Experiment Design Method for Prediction of MHC Class-I-Binding Peptides. Empirical Evaluation of a Dynamic Experiment Design Method for Prediction of MHC Class-I-Binding Peptides. Journal of Immunology, 169, 10, 5744-5753 , 169, 10, 5744-5753 Journal of Immunology, 169, 10, 5744-5753 2002/11 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. Mamitsuka, H. Iteratively Selecting Feature Subsets for Mining from High-Dimensional Databases. Iteratively Selecting Feature Subsets for Mining from High-Dimensional Databases. Lecture Notes in Computer Science (Proceedings of the Sixth European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2002)), 2431, 361-372 , 2431, 361-372 Lecture Notes in Computer Science (Proceedings of the Sixth European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2002)), 2431, 361-372 2002/08 Refereed English Research paper(international conference proceedings) Disclose to all
Udaka, K., Mamitsuka, H., Nakaseko, H. and Abe, N. Udaka, K., Mamitsuka, H., Nakaseko, H. and Abe, N. Prediction of MHC Class I Binding Peptides by a Query Learning Algorithm Based on Hidden Markov Models. Prediction of MHC Class I Binding Peptides by a Query Learning Algorithm Based on Hidden Markov Models. Journal of Biological Physics, 28, 2, 183-194 , 28, 2, 183-194 Journal of Biological Physics, 28, 2, 183-194 2002/06 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. and Abe, N. Mamitsuka, H. and Abe, N. Efficient Mining from Large Databases by Query Learning. Efficient Mining from Large Databases by Query Learning. Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), 575-582 , 575-582 Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), 575-582 2000/06 Refereed English Research paper(international conference proceedings) Disclose to all
Abe, N, Nakamura, A. and Mamitsuka, H. Abe, N, Nakamura, A. and Mamitsuka, H. Empirical Coomparison of Competing Query Learning Methods. Empirical Coomparison of Competing Query Learning Methods. Lecture Notes in Computer Science (Proceedings of the First International Conference on Discovery Science (DS 98)), 1532, 387-388 , 1532, 387-388 Lecture Notes in Computer Science (Proceedings of the First International Conference on Discovery Science (DS 98)), 1532, 387-388 1998/12 Refereed English Research paper(international conference proceedings) Disclose to all
H. Mamitsuka H. Mamitsuka Predicting peptides that bind to MHC molecules using supervised learning of hidden Markov models Predicting peptides that bind to MHC molecules using supervised learning of hidden Markov models Proteins: Structure, Function and Genetics, 33, 4, 460-474 , 33, 4, 460-474 Proteins: Structure, Function and Genetics, 33, 4, 460-474 1998/12 Refereed English Research paper(scientific journal) Disclose to all
Abe, N. and Mamitsuka, H. Abe, N. and Mamitsuka, H. Query Learning Strategies Using Boosting and Bagging. Query Learning Strategies Using Boosting and Bagging. Proceedings of the Fifteenth International Conference on Machine Learning (ICML 98), 1-9 , 1-9 Proceedings of the Fifteenth International Conference on Machine Learning (ICML 98), 1-9 1998/07 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka, H. and Abe, N. Mamitsuka, H. and Abe, N. Predicting Protein Secondary Structure Using Stochastic Tree Grammars Predicting Protein Secondary Structure Using Stochastic Tree Grammars Machine Learning, 29, 2-3, 275-301 , 29, 2-3, 275-301 Machine Learning, 29, 2-3, 275-301 1997/11 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. Mamitsuka, H. Supervised Learning of Hidden Markov Models for Sequence Discrimination. Supervised Learning of Hidden Markov Models for Sequence Discrimination. Proceeds of the First International Conference on Computational Molecular Biology (RECOMB 97), 202-208 , 202-208 Proceeds of the First International Conference on Computational Molecular Biology (RECOMB 97), 202-208 1997/01 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka, H. Mamitsuka, H. A Learning Method of Hidden Markov Models for Sequence Discrimination. A Learning Method of Hidden Markov Models for Sequence Discrimination. Journal of Computational Biology, 3, 3, 361-373 , 3, 3, 361-373 Journal of Computational Biology, 3, 3, 361-373 1996/10 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. and Yamanishi, K. Mamitsuka, H. and Yamanishi, K. α-Helix Region Prediction with Stochastic-rule Learning. α-Helix Region Prediction with Stochastic-rule Learning. Computer Applications in the Biosciences, 11, 4, 399-411 , 11, 4, 399-411 Computer Applications in the Biosciences, 11, 4, 399-411 1995/08 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. Mamitsuka, H. Representing Inter-Residue Dependencies in Protein Sequences with Probabilistic Networks. Representing Inter-Residue Dependencies in Protein Sequences with Probabilistic Networks. Computer Applications in the Biosciences, 11, 4, 413-422 , 11, 4, 413-422 Computer Applications in the Biosciences, 11, 4, 413-422 1995/08 Refereed English Research paper(scientific journal) Disclose to all
Mamitsuka, H. and Abe, N. Mamitsuka, H. and Abe, N. Predicting Location and Structure of Beta-Sheet Regions Using Stochastic Tree Grammars. Predicting Location and Structure of Beta-Sheet Regions Using Stochastic Tree Grammars. Proceedings of the Second International Conferenceon Intelligent Systems for Molecular Biology (ISMB 94), 276-284 , 276-284 Proceedings of the Second International Conferenceon Intelligent Systems for Molecular Biology (ISMB 94), 276-284 1994/08 Refereed English Research paper(international conference proceedings) Disclose to all
Abe, N. and Mamitsuka, H. Abe, N. and Mamitsuka, H. A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars. A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars. Proceedings of the Eleventh International Conference on Machine Learning (ML 94), 3-11 , 3-11 Proceedings of the Eleventh International Conference on Machine Learning (ML 94), 3-11 1994/07 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka, H. and Yamanishi, K. Mamitsuka, H. and Yamanishi, K. Protein Alpha-Helix Region Prediction Based on Stochastic Rule Learning. Protein Alpha-Helix Region Prediction Based on Stochastic Rule Learning. Proceedings of the Twenty-sixth Annual Hawaii International Conference on System Sciences (HICSS 26), 1, 659-668 , 1, 659-668 Proceedings of the Twenty-sixth Annual Hawaii International Conference on System Sciences (HICSS 26), 1, 659-668 1993/01 Refereed English Research paper(international conference proceedings) Disclose to all
Mamitsuka, H. and Yamanishi, K. Mamitsuka, H. and Yamanishi, K. Protein Secondary Structure Prediction Based on Stochastic Rule Learning. Protein Secondary Structure Prediction Based on Stochastic Rule Learning. Lecture Notes in Computer Science (Proceedings of the Third Annual Workshop on Algorithmic Learning Theory (ALT 92)), 743, 240-251 , 743, 240-251 Lecture Notes in Computer Science (Proceedings of the Third Annual Workshop on Algorithmic Learning Theory (ALT 92)), 743, 240-251 1992/10 Refereed English Research paper(international conference proceedings) Disclose to all

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Conference Activities & Talks
Title Title(Japanese) Title(English) Conference Conference(Japanese) Conference(English) Promotor Promotor(Japanese) Promotor(English) Date Language Assortment Disclose
Graph-based Machine Learnng Graph-based Machine Learnng セミナー セミナー 九州工業大学 九州工業大学 2019/05/10 English Other Disclose to all
Machine Learning for Biological Sciences[Invited] Machine Learning for Biological Sciences [Invited] セミナー セミナー 国立国際医療研究センター研究所 国立国際医療研究センター研究所 2018/11/30 Japanese Oral presentation(invited, special) Disclose to all
機械学習による生物科学応用[Invited] 機械学習による生物科学応用 [Invited] 第1245回生物科学セミナー 第1245回生物科学セミナー 東京大学理学部生物科学科 東京大学理学部生物科学科 2018/11/28 Japanese Oral presentation(invited, special) Disclose to all
Database, prediction and beyond[Invited] Database, prediction and beyond [Invited] 反町洋之博士 追悼記念シンポジウム~Three Decades of Calpain~ 反町洋之博士 追悼記念シンポジウム~Three Decades of Calpain~ 2018/07/30 Japanese Oral presentation(invited, special) Disclose to all
機械学習・データマイニング技術/応用の過去・現在 そして未来[Invited] 機械学習・データマイニング技術/応用の過去・現在 そして未来 [Invited] 人工知能学会 第102回人工知能基本問題研究会(SIG-FPAI) 人工知能学会 第102回人工知能基本問題研究会(SIG-FPAI) 人工知能学会 人工知能学会 2016/12/12 Japanese Oral presentation(invited, special) Disclose to all
Recent Development in Bioinformatics[Invited] Recent Development in Bioinformatics [Invited] セミナー セミナー 協和発酵キリン株式会社 探索研究所 協和発酵キリン株式会社 探索研究所 2016/07/27 Japanese Public discourse, seminar, tutorial, course, lecture and others Disclose to all
Mining Significant Substructure Pairs from Drug-Target Network[Invited] Mining Significant Substructure Pairs from Drug-Target Network [Invited] 日本バイオインフォマティクス学会 第17回創薬インフォマティクス研究会 日本バイオインフォマティクス学会 第17回創薬インフォマティクス研究会 2013/09/11 Japanese Oral presentation(invited, special) Disclose to all
Mining Metabolic Pathways through Gene Expression[Invited] Mining Metabolic Pathways through Gene Expression [Invited] 日本バイオインフォマティクス学会 九州地域部会 セミナー 日本バイオインフォマティクス学会 九州地域部会 セミナー 九州大学生体防御医学研究所セミナー 九州大学生体防御医学研究所セミナー 2013/02/08 Japanese Oral presentation(invited, special) Disclose to all
Mining Metabolic Pathways through Gene Expression[Invited] Mining Metabolic Pathways through Gene Expression [Invited] 第1回JHUPOサテライトシンポジウム 第1回JHUPOサテライトシンポジウム 2013/01/18 Japanese Oral presentation(invited, special) Disclose to all
遺伝子発現データ解析 —スイッチング機構の発見とパスウェイマイニング—[Invited] 遺伝子発現データ解析 —スイッチング機構の発見とパスウェイマイニング— [Invited] 第15回新潟プロテオミクスフォーラム 第15回新潟プロテオミクスフォーラム 新潟 新潟 2012/11/20 Japanese Oral presentation(invited, special) Disclose to all
Efficiently Detecting Switching Mechanisms in Gene Expression[Invited] Efficiently Detecting Switching Mechanisms in Gene Expression [Invited] セミナー セミナー 協和発酵キリン株式会社 探索研究所 協和発酵キリン株式会社 探索研究所 2012/02/02 Japanese Oral presentation(invited, special) Disclose to all
薬剤−ターゲットネットワークからの部分構造パタン検出と解析[Invited] 薬剤−ターゲットネットワークからの部分構造パタン検出と解析 [Invited] 高知大学大学院医学専攻DCセミナー(大学院公開セミナー) 高知大学大学院医学専攻DCセミナー(大学院公開セミナー) 高知大学医学部 高知大学医学部 2012/01/30 Japanese Oral presentation(invited, special) Disclose to all
生命科学上の非構造化データからのマイニング[Invited] 生命科学上の非構造化データからのマイニング [Invited] 第13回新潟プロテオミクスフォーラム 第13回新潟プロテオミクスフォーラム 2011/10/26 Japanese Oral presentation(invited, special) Disclose to all
代謝ネットワークからのマイニング[Invited] 代謝ネットワークからのマイニング [Invited] 教育セミナー、日本プロテオーム学会2011年大会 教育セミナー、日本プロテオーム学会2011年大会 2011/07/28 Japanese Oral presentation(invited, special) Disclose to all
Mining Significant Substructure Pairs from Drug-Target Network[Invited] Mining Significant Substructure Pairs from Drug-Target Network [Invited] セミナー セミナー 協和発酵キリン株式会社 探索研究所 協和発酵キリン株式会社 探索研究所 2011/06/21 Japanese Oral presentation(invited, special) Disclose to all
生命科学上の非構造化データの統合マイニング 生命科学上の非構造化データの統合マイニング バイオインフォマティクス推進センター事業、第6回研究開発成果報告会 バイオインフォマティクス推進センター事業、第6回研究開発成果報告会 品川 品川 2010/11/10 Japanese Oral presentation(invited, special) Disclose to all
ライフサイエンスデータからのマイニング ライフサイエンスデータからのマイニング 第17回京都大学化学研究所 公開講演会 第17回京都大学化学研究所 公開講演会 2010/10/24 Japanese Oral presentation(invited, special) Disclose to all
ネットワークからの遺伝子クラスタリング[Invited] ネットワークからの遺伝子クラスタリング [Invited] 公開シンポジウム“統合複雑系科学への招待” 公開シンポジウム“統合複雑系科学への招待” 2010/08/05 Japanese Oral presentation(invited, special) Disclose to all
Mining patterns from trees - Probabilistic model-based approach[Invited] Mining patterns from trees - Probabilistic model-based approach [Invited] 日本バイオインフォマティクス学会 第9回北海道地域部会セミナー 日本バイオインフォマティクス学会 第9回北海道地域部会セミナー 北海道大学 北海道大学 2010/02/08 Japanese Oral presentation(invited, special) Disclose to all
発現情報に基づく効率的な代謝経路ランキング手法を適用したリグニン生合成経路解析[Invited] 発現情報に基づく効率的な代謝経路ランキング手法を適用したリグニン生合成経路解析 [Invited] 科研費ワークショップ「生薬とバイオインフォマティクス」 科研費ワークショップ「生薬とバイオインフォマティクス」 2009/01/15 Japanese Oral presentation(invited, special) Disclose to all
半構造化データからのマイニング[Invited] 半構造化データからのマイニング [Invited] 葉山セミナー 葉山セミナー 総合研究大学院大学先導科学研究科 総合研究大学院大学先導科学研究科 2008/10/14 Japanese Oral presentation(invited, special) Disclose to all
ベクトル形式データとネットワークデータを統合したクラスタリング[Invited] ベクトル形式データとネットワークデータを統合したクラスタリング [Invited] 電子情報通信学会「パターン認識・メディア理解研究会」「データ工学研究会」共催、2008年6月研究会 電子情報通信学会「パターン認識・メディア理解研究会」「データ工学研究会」共催、2008年6月研究会 電子情報通信学会 電子情報通信学会 2008/06/19 Japanese Oral presentation(invited, special) Disclose to all
Clustering Numerical Vectors with a Modularity Network[Invited] Clustering Numerical Vectors with a Modularity Network [Invited] セミナー セミナー 奈良先端科学技術大学院大学 奈良先端科学技術大学院大学 2008/06/17 Japanese Oral presentation(invited, special) Disclose to all
Informatics Innovations in Glycogenomics[Invited] Informatics Innovations in Glycogenomics [Invited] 21世紀COEプログラム「ゲノム科学の知的情報基盤・研究拠点形成」最終年度公 開シンポジウム:Symposium on Bioinformatics and Chemical Genomics 21世紀COEプログラム「ゲノム科学の知的情報基盤・研究拠点形成」最終年度公 開シンポジウム:Symposium on Bioinformatics and Chemical Genomics 21世紀COEプログラム「ゲノム科学の知的情報基盤・研究拠点形成」 21世紀COEプログラム「ゲノム科学の知的情報基盤・研究拠点形成」 2007/09/20 Japanese Oral presentation(invited, special) Disclose to all
バイオインフォマティクス先端技術の現状と展望[Invited] バイオインフォマティクス先端技術の現状と展望 [Invited] セミナー セミナー 協和発酵工業 バイオフロンティア研究所 協和発酵工業 バイオフロンティア研究所 2006/09/26 Japanese Oral presentation(invited, special) Disclose to all
能動学習を用いた効率的なMHC結合ペプチド予測[Invited] 能動学習を用いた効率的なMHC結合ペプチド予測 [Invited] 臨床研セミナー 臨床研セミナー 東京都臨床医学総合研究所 東京都臨床医学総合研究所 2006/05/25 Japanese Oral presentation(invited, special) Disclose to all
Biological Sequence Analysis with a Probabilistic Model[Invited] Biological Sequence Analysis with a Probabilistic Model [Invited] セミナー セミナー 千葉大学 千葉大学 2006/03/28 Japanese Oral presentation(invited, special) Disclose to all
バイオインフォマティクス人材養成のあるべき姿とは?[Invited] バイオインフォマティクス人材養成のあるべき姿とは? [Invited] 産業技術総合研究所 生命情報科学人材養成コース 最終シンポジウム「バイオインフォマティクス人材養成5年の歩み お台場から世界に向けて」 産業技術総合研究所 生命情報科学人材養成コース 最終シンポジウム「バイオインフォマティクス人材養成5年の歩み お台場から世界に向けて」 産業技術総合研究所 生命情報科学センター 産業技術総合研究所 生命情報科学センター 2005/09/22 Japanese Symposium workshop panel(nominated) Disclose to all
マルコフ連鎖の有限混合モデルによるマイクロアレイデータからの代謝パスウェイ解析[Invited] マルコフ連鎖の有限混合モデルによるマイクロアレイデータからの代謝パスウェイ解析 [Invited] 統計関連学会連合大会企画セッション「アレイデータ解析周辺にみる新しい統計的視点」 統計関連学会連合大会企画セッション「アレイデータ解析周辺にみる新しい統計的視点」 2005/09/13 Japanese Oral presentation(invited, special) Disclose to all
バイオインフォマティクス先端技術の現状と展望[Invited] バイオインフォマティクス先端技術の現状と展望 [Invited] セミナー セミナー シスメックス株式会社中央研究所・テクノセンター シスメックス株式会社中央研究所・テクノセンター 2005/06/27 Japanese Oral presentation(invited, special) Disclose to all
バイオインフォマティクス先端技術の現状と展望[Invited] バイオインフォマティクス先端技術の現状と展望 [Invited] セミナー セミナー キリンビール株式会社 医薬探索研究所 キリンビール株式会社 医薬探索研究所 2005/06/25 Japanese Oral presentation(invited, special) Disclose to all
糖鎖構造からのデータマイニング[Invited] 糖鎖構造からのデータマイニング [Invited] 公開シンポジウム「ゲノムからケミカルゲノムへ」 公開シンポジウム「ゲノムからケミカルゲノムへ」 京都大学21世紀COEプログラム「ゲノム科学の知的情報基盤・研究拠点形成」 京都大学21世紀COEプログラム「ゲノム科学の知的情報基盤・研究拠点形成」 2005/03/24 Japanese Oral presentation(invited, special) Disclose to all
糖鎖構造からのデータマイニング[Invited] 糖鎖構造からのデータマイニング [Invited] セミナー セミナー 日本電気(株) 日本電気(株) 2005/03/02 Japanese Oral presentation(invited, special) Disclose to all
代謝パスウェイの発現プロファイルによる解析[Invited] 代謝パスウェイの発現プロファイルによる解析 [Invited] 第27回日本分子生物学会年会ワークショップ 第27回日本分子生物学会年会ワークショップ 2004/12/09 Japanese Oral presentation(invited, special) Disclose to all
バイオインフォマティクスへの機械学習応用[Invited] バイオインフォマティクスへの機械学習応用 [Invited] バイオインフォマティクス夏の学校 バイオインフォマティクス夏の学校 日本バイオインフォマティクス学会 日本バイオインフォマティクス学会 2004/07/21 Japanese Oral presentation(invited, special) Disclose to all
プロテオームインフォマティクスの現状と展望[Invited] プロテオームインフォマティクスの現状と展望 [Invited] 日本SGIソリューションフェア2003 日本SGIソリューションフェア2003 日本SGI 日本SGI 2003/11/05 Japanese Oral presentation(invited, special) Disclose to all
ゲノム・プロテオーム情報のデータマイニング[Invited] ゲノム・プロテオーム情報のデータマイニング [Invited] 京都市酒蔵バイオVIL開所一周年記念事業 「21世紀COEシンポジウム」 京都市酒蔵バイオVIL開所一周年記念事業 「21世紀COEシンポジウム」 京都大学21世紀COEプログラム「ゲノム科学の知的情報基盤・研究拠点形成」 京都大学21世紀COEプログラム「ゲノム科学の知的情報基盤・研究拠点形成」 2003/08/11 Japanese Oral presentation(invited, special) Disclose to all
Hierarchical Latent Knowledge Analysis on Co-occurrence Data[Invited] Hierarchical Latent Knowledge Analysis on Co-occurrence Data [Invited] 情報処理学会、電子情報通信学会北海道支部共催講演会 情報処理学会、電子情報通信学会北海道支部共催講演会 情報処理学会、電子情報通信学会 情報処理学会、電子情報通信学会 2003/06/24 Japanese Oral presentation(invited, special) Disclose to all
潜在変数モデルによるタンパク質相互作用の予測[Invited] 潜在変数モデルによるタンパク質相互作用の予測 [Invited] 第3回日本蛋白質科学会年会ワークショップ(プロテインインフォマティクス) 第3回日本蛋白質科学会年会ワークショップ(プロテインインフォマティクス) 日本蛋白質科学会 日本蛋白質科学会 2003/06/23 Japanese Oral presentation(invited, special) Disclose to all
階層型潜在変数モデルによるタンパク質間相互作用の予測[Invited] 階層型潜在変数モデルによるタンパク質間相互作用の予測 [Invited] 第1回「高次構造からみるプロテオーム機能発現メカニズム」研究会 第1回「高次構造からみるプロテオーム機能発現メカニズム」研究会 2003/05/21 Japanese Oral presentation(invited, special) Disclose to all
プロテオーム情報と低分子化合物情報の効率的な解析[Invited] プロテオーム情報と低分子化合物情報の効率的な解析 [Invited] 人工知能学会第23回分子生物情報研究会 人工知能学会第23回分子生物情報研究会 人工知能学会 人工知能学会 2003/01/20 Japanese Oral presentation(invited, special) Disclose to all
Active Ensemble Learning[Invited] Active Ensemble Learning [Invited] セミナー(コロキウム) セミナー(コロキウム) 京都大学化学研究所附属バイオインフォマティクスセンター 京都大学化学研究所附属バイオインフォマティクスセンター 2002/03/10 Japanese Oral presentation(invited, special) Disclose to all
Active Ensemble Learning[Invited] Active Ensemble Learning [Invited] 第4回情報論的学習理論ワークショップ(IBIS2001) 第4回情報論的学習理論ワークショップ(IBIS2001) 2001/07/30 Japanese Oral presentation(invited, special) Disclose to all
HMM及び確率的文法を用いたタンパク質構造・機能予測について[Invited] HMM及び確率的文法を用いたタンパク質構造・機能予測について [Invited] 第165回CBI研究講演会 第165回CBI研究講演会 Chem-Bio Informatics Society (CBI学会) Chem-Bio Informatics Society (CBI学会) 1997/12/15 Japanese Oral presentation(invited, special) Disclose to all
Predicting Beta-sheets Using Stochastic Tree Grammars[Invited] Predicting Beta-sheets Using Stochastic Tree Grammars [Invited] セミナー(第2回ゲノム情報コロキウム) セミナー(第2回ゲノム情報コロキウム) 東京大学医科学研究所ヒトゲノム解析センター 東京大学医科学研究所ヒトゲノム解析センター 1996/04/22 Japanese Oral presentation(invited, special) Disclose to all
確率的規則に基づくタンパク質αヘリックス領域予測[Invited] 確率的規則に基づくタンパク質αヘリックス領域予測 [Invited] 第55回日本行動計量学会シンポジウム 第55回日本行動計量学会シンポジウム 日本行動計量学会 日本行動計量学会 1993/02/27 Japanese Oral presentation(invited, special) Disclose to all
Predicting Alpha-helix Using Stochastic Rule Learning[Invited] Predicting Alpha-helix Using Stochastic Rule Learning [Invited] 遺伝子情報処理ワークショップ 遺伝子情報処理ワークショップ (財)新世代コンピュータ技術開発機構(ICOT) (財)新世代コンピュータ技術開発機構(ICOT) 1992/11/11 Japanese Oral presentation(invited, special) Disclose to all
Graph-regularized, Data-integrative Machine Learning for Bioinformatics[Invited] Graph-regularized, Data-integrative Machine Learning for Bioinformatics [Invited] Seminar Seminar Ho Chi Minh City National University of Science Ho Chi Minh City National University of Science 2018/11/17 English Oral presentation(invited, special) Disclose to all
Graph-based Machine Learning[Invited] Graph-based Machine Learning [Invited] 5th SHTP Annual International Conference 2018 5th SHTP Annual International Conference 2018 2018/11/16 English Oral presentation(invited, special) Disclose to all
Data Integrative Machine Learning for Bioinformatics[Invited] Data Integrative Machine Learning for Bioinformatics [Invited] Second Belgrade BioInformatics Conference (BelBi 2018) Second Belgrade BioInformatics Conference (BelBi 2018) 2018/06/21 English Oral presentation(invited, special) Disclose to all
Label Propagation over Multiple Graphs[Invited] Label Propagation over Multiple Graphs [Invited] Seminar Seminar ThuyLoi University ThuyLoi University 2018/03/22 English Oral presentation(invited, special) Disclose to all
Applying "Learning to Rank" to Large-scale MeSH Indexing[Invited] Applying "Learning to Rank" to Large-scale MeSH Indexing [Invited] Seminar Seminar Hanoi University of Science and Technology Hanoi University of Science and Technology 2018/03/20 English Oral presentation(invited, special) Disclose to all
Similarly-based Machine Learning Approaches for Predicting Drug-target Interactions[Invited] Similarly-based Machine Learning Approaches for Predicting Drug-target Interactions [Invited] Sixth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2018) Sixth International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2018) 2018/03/16 English Oral presentation(invited, special) Disclose to all
Collaborative Matrix Factorization for Predicting Drug-Target Interactions Collaborative Matrix Factorization for Predicting Drug-Target Interactions Internal Seminar Internal Seminar Keio University Keio University 2017/04/20 English Oral presentation(invited, special) Disclose to all
Learning to Rank: Applications to Bioinformatics[Invited] Learning to Rank: Applications to Bioinformatics [Invited] Seminar, Machine Learning Coffee Series Seminar, Machine Learning Coffee Series University of Helsinki and Aalto University University of Helsinki and Aalto University 2017/03/27 English Oral presentation(invited, special) Disclose to all
Machine Learning Applications:Past, Present and Future[Invited] Machine Learning Applications:Past, Present and Future [Invited] Fifth International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making (IUKM 2016) Fifth International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making (IUKM 2016) 2016/11/30 English Oral presentation(keynote) Disclose to all
Collaborative Matrix Factorization for Predicting Drug-Target Interactions Collaborative Matrix Factorization for Predicting Drug-Target Interactions Seminar Seminar University of Engineering and Technology, National University of Vietnam in Hanoi University of Engineering and Technology, National University of Vietnam in Hanoi 2016/11/29 English Oral presentation(invited, special) Disclose to all
Label Propagation over Multiple Graphs Label Propagation over Multiple Graphs Seminar Seminar Hanoi University of Science and Technology Hanoi University of Science and Technology 2016/11/28 English Other Disclose to all
Machine Learning for Predicting Cleavability of Calpain Proteolysis[Invited] Machine Learning for Predicting Cleavability of Calpain Proteolysis [Invited] 'The Biology of Calpain in Health and Disease', FASEB Science Research Conference 'The Biology of Calpain in Health and Disease', FASEB Science Research Conference 2016/07/17 English Oral presentation(invited, special) Disclose to all
Collaborative Matrix Factorization for Predicting Drug-Target Interactions[Invited] Collaborative Matrix Factorization for Predicting Drug-Target Interactions [Invited] Seminar Seminar Humboldt-Universitat zu Berlin Humboldt-Universitat zu Berlin 2015/12/03 English Oral presentation(invited, special) Disclose to all
Greetings from Kyoto[Invited] Greetings from Kyoto [Invited] Caroline von-Humboldt Professorship Award Ceremony Caroline von-Humboldt Professorship Award Ceremony Humboldt-Universitat zu Berlin Humboldt-Universitat zu Berlin 2015/12/01 English Oral presentation(invited, special) Disclose to all
Panel session[Invited] Panel session [Invited] CIM Workshop on Machine Learning CIM Workshop on Machine Learning Uppsala University Uppsala University 2015/10/09 English Symposium workshop panel(nominated) Disclose to all
Collaborative Matrix Factorization for Predicting Drug-Target Interactions[Invited] Collaborative Matrix Factorization for Predicting Drug-Target Interactions [Invited] CIM Workshop on Machine Learning CIM Workshop on Machine Learning Uppsala University Uppsala University 2015/10/08 English Oral presentation(invited, special) Disclose to all
Collaborative Matrix Factorization for Predicting Drug-Target Interactions[Invited] Collaborative Matrix Factorization for Predicting Drug-Target Interactions [Invited] Seminar Seminar National Tsing Hua University National Tsing Hua University 2015/01/21 English Oral presentation(invited, special) Disclose to all
Mining from Biological Networks: Preserving Network Localities[Invited] Mining from Biological Networks: Preserving Network Localities [Invited] Seminar Seminar Fudan University Fudan University 2014/10/24 English Oral presentation(invited, special) Disclose to all
Mining from Biological Networks: Preserving Network Localities[Invited] Mining from Biological Networks: Preserving Network Localities [Invited] Seminar Seminar Lille 1 University Lille 1 University 2014/09/30 English Oral presentation(invited, special) Disclose to all
Data-integrative Approach for Genomics[Invited] Data-integrative Approach for Genomics [Invited] Sweden-Kyoto Symposium 2014 Sweden-Kyoto Symposium 2014 Kyoto University Kyoto University 2014/09/12 English Oral presentation(invited, special) Disclose to all
Mining from Biological Networks: Preserving Network Localities[Invited] Mining from Biological Networks: Preserving Network Localities [Invited] 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology Computational Intelligence Society, IEEE Computational Intelligence Society, IEEE 2014/05/22 English Oral presentation(keynote) Disclose to all
Roundtable: Future Directions in Computational Intelligence in Bioinformatics Research[Invited] Roundtable: Future Directions in Computational Intelligence in Bioinformatics Research [Invited] 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology Computational Intelligence Society, IEEE Computational Intelligence Society, IEEE 2014/05/21 English Symposium workshop panel(nominated) Disclose to all
Mining Metabolic Pathways through Gene Expression[Invited] Mining Metabolic Pathways through Gene Expression [Invited] euSYSBIO – Master’s Degree Programme in Computational and Systems Biology euSYSBIO – Master’s Degree Programme in Computational and Systems Biology Erasmus Mundus Erasmus Mundus 2014/04/28 English Oral presentation(invited, special) Disclose to all
Mining Patterns from Trees[Invited] Mining Patterns from Trees [Invited] euSYSBIO – Master’s Degree Programme in Computational and Systems Biology euSYSBIO – Master’s Degree Programme in Computational and Systems Biology Erasmus Mundus Erasmus Mundus 2014/04/25 English Oral presentation(invited, special) Disclose to all
Mining Patterns from Sequences: Hidden Markov Models and Learning[Invited] Mining Patterns from Sequences: Hidden Markov Models and Learning [Invited] euSYSBIO – Master’s Degree Programme in Computational and Systems Biology euSYSBIO – Master’s Degree Programme in Computational and Systems Biology Erasmus Mundus Erasmus Mundus 2014/04/24 English Oral presentation(invited, special) Disclose to all
Collaborative Matrix Factorization for Predicting Drug-Target Interactions[Invited] Collaborative Matrix Factorization for Predicting Drug-Target Interactions [Invited] Seminar, Lille 1 University Seminar, Lille 1 University Centre Européen pour les Mathématiques, la Physique et leurs interactions (CEMPI) Centre Européen pour les Mathématiques, la Physique et leurs interactions (CEMPI) 2014/03/26 English Oral presentation(invited, special) Disclose to all
Collaborative Matrix Factorization for Predicting Drug-Target Interactions[Invited] Collaborative Matrix Factorization for Predicting Drug-Target Interactions [Invited] Trends in Machine Learning (TML) 2014 Trends in Machine Learning (TML) 2014 Kyoto University Kyoto University 2014/03/18 English Oral presentation(invited, special) Disclose to all
Collaborative Matrix Factorization for Predicting Drug-Target Interactions[Invited] Collaborative Matrix Factorization for Predicting Drug-Target Interactions [Invited] Seminar Seminar Aalto University Aalto University 2014/02/03 English Oral presentation(invited, special) Disclose to all
Mining Metabolic Pathways through Gene Expression[Invited] Mining Metabolic Pathways through Gene Expression [Invited] Seminar Seminar National University of Singapore National University of Singapore 2013/12/20 English Oral presentation(invited, special) Disclose to all
Label Propagation over Graphs[Invited] Label Propagation over Graphs [Invited] Seminar Seminar Institute for Infocomm Research (I2R), A*STAR, Singapore Institute for Infocomm Research (I2R), A*STAR, Singapore 2013/12/19 English Oral presentation(invited, special) Disclose to all
Efficiently Detecting Switching Mechanisms in Gene Expression[Invited] Efficiently Detecting Switching Mechanisms in Gene Expression [Invited] 24th International Conference on Genome Informatics (GIW 2013) 24th International Conference on Genome Informatics (GIW 2013) 2013/12/17 English Oral presentation(invited, special) Disclose to all
Introduction of Institute for Chemical Research, Kyoto University[Invited] Introduction of Institute for Chemical Research, Kyoto University [Invited] The HUPO Initiative Assembly in Kyoto The HUPO Initiative Assembly in Kyoto HUPO HUPO 2013/09/19 English Oral presentation(invited, special) Disclose to all
Mining Metabolic Pathways through Gene Expression[Invited] Mining Metabolic Pathways through Gene Expression [Invited] Kyoto University - Koc University Symposium ``New Frontiers in Health Sciences & Technologies" Kyoto University - Koc University Symposium ``New Frontiers in Health Sciences & Technologies" Kyoto University Kyoto University 2013/09/07 English Oral presentation(invited, special) Disclose to all
Opening Remark Opening Remark 2013 International Workshop on Machine Learning and Applications to Biology 2013 International Workshop on Machine Learning and Applications to Biology Hokkaido University Hokkaido University 2013/08/05 English Oral presentation(invited, special) Disclose to all
Opening and Closing Remarks Opening and Closing Remarks 13th Annual International Workshop on Bioinformatics and Systems Biology 13th Annual International Workshop on Bioinformatics and Systems Biology 2013/07/31 English Oral presentation(invited, special) Disclose to all
Machine Learning for Bioinformatics[Invited] Machine Learning for Bioinformatics [Invited] FASEB Science and Research Conference, ``The Biology of Calpains in Health and Disease'' FASEB Science and Research Conference, ``The Biology of Calpains in Health and Disease'' Federation of American Societies for Experimental Biology (FASEB) Federation of American Societies for Experimental Biology (FASEB) 2013/07/22 English Oral presentation(invited, special) Disclose to all
Label Propagation over Graphs[Invited] Label Propagation over Graphs [Invited] Seminar Seminar Mitsubishi Electric Research Laboratories Mitsubishi Electric Research Laboratories 2013/03/08 English Oral presentation(invited, special) Disclose to all
Label Propagation over Graphs[Invited] Label Propagation over Graphs [Invited] Seminar Seminar Noah's Ark Lab, Huawei Noah's Ark Lab, Huawei 2012/12/17 English Oral presentation(invited, special) Disclose to all
Mining Metabolic Pathways through Gene Expression[Invited] Mining Metabolic Pathways through Gene Expression [Invited] Kyoto University - Durham University Joint International Symposium Kyoto University - Durham University Joint International Symposium 2012/11/28 English Oral presentation(invited, special) Disclose to all
Label Propagation over Graphs[Invited] Label Propagation over Graphs [Invited] Seminar Seminar IBM T. J. Watson Research Center IBM T. J. Watson Research Center 2012/10/08 English Oral presentation(invited, special) Disclose to all
Mining Subgraph-Subsequence Pairs from Drug-Target Network[Invited] Mining Subgraph-Subsequence Pairs from Drug-Target Network [Invited] 2012 Workshop on Pharmaco-Informatics for Drug Discovery, in Conjunction with 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2012) 2012 Workshop on Pharmaco-Informatics for Drug Discovery, in Conjunction with 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2012) Computer Society, IEEE Computer Society, IEEE 2012/10/04 English Oral presentation(invited, special) Disclose to all
Opening Remark[Invited] Opening Remark [Invited] 2012 Sapporo Workshop on Machine Learning and Application to Biology (MLAB) 2012 Sapporo Workshop on Machine Learning and Application to Biology (MLAB) Hokkaido University Hokkaido University 2012/08/06 English Oral presentation(invited, special) Disclose to all
Machine Learning for Systems Biology[Invited] Machine Learning for Systems Biology [Invited] Faculty Lab Presentation, International Workshop of Bioinformatics and Systems Biology 2012 Faculty Lab Presentation, International Workshop of Bioinformatics and Systems Biology 2012 Boston University Boston University 2012/07/26 English Oral presentation(invited, special) Disclose to all
Clustering over Graphs: Probabilistic Model based Approach[Invited] Clustering over Graphs: Probabilistic Model based Approach [Invited] Seminar in Information Systems and Applications Seminar in Information Systems and Applications National Tsing Hua University National Tsing Hua University 2011/11/23 English Oral presentation(invited, special) Disclose to all
Label Propagation over Graphs Label Propagation over Graphs Seminar, National Tsing Hua University Seminar, National Tsing Hua University National Tsing Hua University National Tsing Hua University 2011/11/22 English Oral presentation(invited, special) Disclose to all
Efficient Label Propagation over Graphs Efficient Label Propagation over Graphs Seminar Seminar Fudan University Fudan University 2011/11/14 English Oral presentation(invited, special) Disclose to all
Data Mining-based Approach for Drug-Target Prediction[Invited] Data Mining-based Approach for Drug-Target Prediction [Invited] Invited Tutorial, 2011 International Conference on Neural Information Processing (ICONIP), Tutorials Invited Tutorial, 2011 International Conference on Neural Information Processing (ICONIP), Tutorials 2011/11/13 English Oral presentation(invited, special) Disclose to all
Opening Remark[Invited] Opening Remark [Invited] ICR Symposium to Celebrate the Bioinformatics Center's 10 Year Anniversary and New Restructuring ICR Symposium to Celebrate the Bioinformatics Center's 10 Year Anniversary and New Restructuring Institute for Chemical Research (ICR), Kyoto University Institute for Chemical Research (ICR), Kyoto University 2011/08/29 English Oral presentation(invited, special) Disclose to all
Mining from Graphs[Invited] Mining from Graphs [Invited] FICS Summer School FICS Summer School Finnish Doctoral Programme in Computational Sciences (FICS) Finnish Doctoral Programme in Computational Sciences (FICS) 2011/08/24 English Oral presentation(keynote) Disclose to all
Probabilistic Models for Labelled Ordered Trees: Applications to Glycans Probabilistic Models for Labelled Ordered Trees: Applications to Glycans Summer School 2011 Summer School 2011 Computational Systems Biology, DFG-GRADUIERTENKOLLEG 1772 - Research Training Group Computational Systems Biology, DFG-GRADUIERTENKOLLEG 1772 - Research Training Group 2011/07/22 English Oral presentation(invited, special) Disclose to all
Mining Significant Substructure Pairs from Drug-Target Network Mining Significant Substructure Pairs from Drug-Target Network Seminar Seminar University of Strasbourg University of Strasbourg 2011/05/26 English Oral presentation(invited, special) Disclose to all
PathRanker: Mining Metabolic Pathways through Gene Expression[Invited] PathRanker: Mining Metabolic Pathways through Gene Expression [Invited] Seminar Seminar Institute of Genetics and Molecular and Cellular Biology (IGBMC), University of Strasbourg Institute of Genetics and Molecular and Cellular Biology (IGBMC), University of Strasbourg 2011/05/24 English Oral presentation(invited, special) Disclose to all
Mining Significant Substructure Pairs from Drug-Target Network[Invited] Mining Significant Substructure Pairs from Drug-Target Network [Invited] Seminar Seminar Fudan University Fudan University 2011/05/16 English Oral presentation(invited, special) Disclose to all
Mining Metabolic Pathways through Gene Expression[Invited] Mining Metabolic Pathways through Gene Expression [Invited] The 2nd Workshop on Bioinformatics for Medical and Pharmaceutical Research The 2nd Workshop on Bioinformatics for Medical and Pharmaceutical Research Curie Institute Curie Institute 2011/02/28 English Oral presentation(invited, special) Disclose to all
Mining Metabolic Pathways through Gene Expression[Invited] Mining Metabolic Pathways through Gene Expression [Invited] Seminar Seminar Humboldt University, Computational Systems Biology, DFG-GRADUIERTENKOLLEG 1772 - Research Training Group Humboldt University, Computational Systems Biology, DFG-GRADUIERTENKOLLEG 1772 - Research Training Group 2011/02/23 English Oral presentation(invited, special) Disclose to all
Clustering over Graphs: Probabilistic Model based Approach[Invited] Clustering over Graphs: Probabilistic Model based Approach [Invited] Seminar Seminar National Cheng Kung University National Cheng Kung University 2011/01/20 English Oral presentation(invited, special) Disclose to all
Clustering Genes by Using Expression and Gene Network Topology[Invited] Clustering Genes by Using Expression and Gene Network Topology [Invited] Seminar Seminar National Cheng Kung University National Cheng Kung University 2011/01/19 English Oral presentation(invited, special) Disclose to all
Mining Metabolic Pathways through Gene Expression[Invited] Mining Metabolic Pathways through Gene Expression [Invited] Seminar Seminar Fudan University Fudan University 2010/12/30 English Oral presentation(invited, special) Disclose to all
Clustering over Graphs: Probabilistic Model Based Approach[Invited] Clustering over Graphs: Probabilistic Model Based Approach [Invited] Seminar Seminar Shanghai Jiao Tong University Shanghai Jiao Tong University 2010/12/28 English Oral presentation(invited, special) Disclose to all
Mining Metabolic Pathways through Gene Expression[Invited] Mining Metabolic Pathways through Gene Expression [Invited] Seminar Seminar Shanghai Institutes for Biological Sciences Shanghai Institutes for Biological Sciences 2010/12/27 English Oral presentation(invited, special) Disclose to all
Mining Metabolic Pathways through Gene Expression[Invited] Mining Metabolic Pathways through Gene Expression [Invited] Seminar Seminar Boston College Boston College 2010/12/10 English Oral presentation(invited, special) Disclose to all
Clustering Genes by Using Expression and Gene Network Topology[Invited] Clustering Genes by Using Expression and Gene Network Topology [Invited] Seminar Seminar Boston University Boston University 2010/12/08 English Oral presentation(invited, special) Disclose to all
Mining Metabolic Pathways through Gene Expression[Invited] Mining Metabolic Pathways through Gene Expression [Invited] 2010 Systems Biology and Bioinformatics Symposium (SBBS) 2010 Systems Biology and Bioinformatics Symposium (SBBS) Taiwan Society for Bioinformatics and Systems Biology (TBSB) Taiwan Society for Bioinformatics and Systems Biology (TBSB) 2010/11/05 English Oral presentation(keynote) Disclose to all
Probabilistic Model Learning for Clustering with Multiple Graphs[Invited] Probabilistic Model Learning for Clustering with Multiple Graphs [Invited] Seminar Seminar Fudan University Fudan University 2010/10/18 English Oral presentation(invited, special) Disclose to all
Probabilistic Model Learning for Clustering with Multiple Graphs[Invited] Probabilistic Model Learning for Clustering with Multiple Graphs [Invited] Seminar Seminar SooChow University SooChow University 2010/10/15 English Oral presentation(invited, special) Disclose to all
Clustering over Graphs[Invited] Clustering over Graphs [Invited] Second International Seminar on Business and Information Management (ISBIM 2010) Second International Seminar on Business and Information Management (ISBIM 2010) 2010/09/13 English Oral presentation(keynote) Disclose to all
Ranking Metabolic Paths Based on Adjacent Pairwise Coexpression[Invited] Ranking Metabolic Paths Based on Adjacent Pairwise Coexpression [Invited] Seminar Seminar Fudan University Fudan University 2010/05/13 English Oral presentation(invited, special) Disclose to all
Efficiently Detecting a Switching Mechanism in Gene Expression[Invited] Efficiently Detecting a Switching Mechanism in Gene Expression [Invited] Seminar Seminar Curie Institute Curie Institute 2010/03/22 English Oral presentation(invited, special) Disclose to all
Efficiently Finding a Switching Mechanism in Gene Expression[Invited] Efficiently Finding a Switching Mechanism in Gene Expression [Invited] Seminar Seminar Fudan University Fudan University 2010/03/16 English Oral presentation(invited, special) Disclose to all
Mining Significant Patterns from Carbohydrate Sugar Chains[Invited] Mining Significant Patterns from Carbohydrate Sugar Chains [Invited] Seminar Seminar Humboldt University Humboldt University 2009/10/09 English Oral presentation(invited, special) Disclose to all
Mining Significant Patterns from Glycan Structures[Invited] Mining Significant Patterns from Glycan Structures [Invited] International Beilstein Symposium on Glyco-Bioinformatics International Beilstein Symposium on Glyco-Bioinformatics Beilstein Institute Beilstein Institute 2009/10/05 English Oral presentation(invited, special) Disclose to all
A Markov Classification Model for Metabolic Pathways[Invited] A Markov Classification Model for Metabolic Pathways [Invited] Seminar Seminar Fudan University Fudan University 2009/09/29 English Oral presentation(invited, special) Disclose to all
Probabilistic Models for Mining from Labeled Ordered Trees: Application to Glycobiology[Invited] Probabilistic Models for Mining from Labeled Ordered Trees: Application to Glycobiology [Invited] TISE Summer School on Statistical Modeling and Machine Leraning in Computational Systems Biology TISE Summer School on Statistical Modeling and Machine Leraning in Computational Systems Biology Tampere Graduate School in Information Science and Engineering (TISE) Tampere Graduate School in Information Science and Engineering (TISE) 2009/06/24 English Oral presentation(invited, special) Disclose to all
Mining Significant Patterns from Trees[Invited] Mining Significant Patterns from Trees [Invited] TISE Summer School on Statistical Modeling and Machine Leraning in Computational Systems Biology TISE Summer School on Statistical Modeling and Machine Leraning in Computational Systems Biology Tampere Graduate School in Information Science and Engineering (TISE) Tampere Graduate School in Information Science and Engineering (TISE) 2009/06/24 English Oral presentation(invited, special) Disclose to all
Learning Probabilistic Models for Time-series Data: Hidden Markov Models[Invited] Learning Probabilistic Models for Time-series Data: Hidden Markov Models [Invited] TISE Summer School on Statistical Modeling and Machine Leraning in Computational Systems Biology TISE Summer School on Statistical Modeling and Machine Leraning in Computational Systems Biology Tampere Graduate School in Information Science and Engineering (TISE) Tampere Graduate School in Information Science and Engineering (TISE) 2009/06/22 English Oral presentation(invited, special) Disclose to all
Clustering with Heterogeneous Data[Invited] Clustering with Heterogeneous Data [Invited] IEEE International Conference on Computational Intelligence and Natural Computing (CINC 2009) IEEE International Conference on Computational Intelligence and Natural Computing (CINC 2009) 2009/06/06 English Oral presentation(keynote) Disclose to all
Mining Significant Patterns from Trees[Invited] Mining Significant Patterns from Trees [Invited] Seminar Seminar Université Louis Pasteur Université Louis Pasteur 2009/05/28 English Oral presentation(invited, special) Disclose to all
A Probabilistic Model-based Approach for Mining Chemical Compound-Gene Co-occurrences from Biomedical Texts[Invited] A Probabilistic Model-based Approach for Mining Chemical Compound-Gene Co-occurrences from Biomedical Texts [Invited] Seminar Seminar Université Louis Pasteur Université Louis Pasteur 2009/05/25 English Oral presentation(invited, special) Disclose to all
Mining Significant Patterns from Trees[Invited] Mining Significant Patterns from Trees [Invited] Bioinformatics Workshop Bioinformatics Workshop Shanghai Key Laboratory of Intelligent Information Processing Shanghai Key Laboratory of Intelligent Information Processing 2009/05/13 English Oral presentation(invited, special) Disclose to all
Mining Significant Patterns from Trees[Invited] Mining Significant Patterns from Trees [Invited] Seminar Seminar I2R, A*STAR, Singapore I2R, A*STAR, Singapore 2009/03/24 English Oral presentation(invited, special) Disclose to all
Mining Significant Patterns from Trees[Invited] Mining Significant Patterns from Trees [Invited] IEEE International Symposium on Knowledge Acquisition and Modeling (KAM 2008) IEEE International Symposium on Knowledge Acquisition and Modeling (KAM 2008) Beijin Section, IEEE; HuaZhong Normal Uniersity Beijin Section, IEEE; HuaZhong Normal Uniersity 2008/12/21 English Oral presentation(keynote) Disclose to all
Clustering Genes with Microarray Expressions and Gene Networks[Invited] Clustering Genes with Microarray Expressions and Gene Networks [Invited] Seminar Seminar Max Planck Institute for Biological Cybernetics Max Planck Institute for Biological Cybernetics 2008/10/22 English Oral presentation(invited, special) Disclose to all
Clustering Numerical Vectors with a Modularity Network[Invited] Clustering Numerical Vectors with a Modularity Network [Invited] Workshop on "Relations with Computer Science", Foundations of Computational Mathematics (FoCM'08) Workshop on "Relations with Computer Science", Foundations of Computational Mathematics (FoCM'08) 2008/06/22 English Oral presentation(invited, special) Disclose to all
Clustering Numerical Vectors with a Modularity Network[Invited] Clustering Numerical Vectors with a Modularity Network [Invited] Seminar Seminar University of Melbourne University of Melbourne 2008/05/27 English Oral presentation(invited, special) Disclose to all
Data-integrative Informatics for Chemical Genomics[Invited] Data-integrative Informatics for Chemical Genomics [Invited] Systems Biology Workshops - From Molecules to Life - Systems Biology Workshops - From Molecules to Life - 2008/05/27 English Oral presentation(keynote) Disclose to all
Clustering Numerical Vectors with Modularity Networks[Invited] Clustering Numerical Vectors with Modularity Networks [Invited] Seminar Seminar Helsinki University of Technology Helsinki University of Technology 2007/12/13 English Oral presentation(invited, special) Disclose to all
Opening Address[Invited] Opening Address [Invited] Eighteenth International Conference on Genome Informatics Eighteenth International Conference on Genome Informatics 2007/12/03 English Oral presentation(invited, special) Disclose to all
An Integrative Approach for Gene Annotation based on Spectral Clustering and Network Modularity[Invited] An Integrative Approach for Gene Annotation based on Spectral Clustering and Network Modularity [Invited] AASBi Symposium AASBi Symposium The Association of Asian Societies for Bioinformatics (AASBi) The Association of Asian Societies for Bioinformatics (AASBi) 2007/12/02 English Oral presentation(invited, special) Disclose to all
Clustering Numerical Vectors with Modularity Networks[Invited] Clustering Numerical Vectors with Modularity Networks [Invited] Seminar Seminar Institute for Infocomm Research (I2R), A*STAR, Singapore Institute for Infocomm Research (I2R), A*STAR, Singapore 2007/11/28 English Oral presentation(invited, special) Disclose to all
Random Field, Network Modularity, Spectral Clustering and Beyond[Invited] Random Field, Network Modularity, Spectral Clustering and Beyond [Invited] International Conference on Intelligent Computing (ICIC 2007) International Conference on Intelligent Computing (ICIC 2007) 2007/08/22 English Oral presentation(keynote) Disclose to all
Clustering Numerical Vectors with a Modular Network[Invited] Clustering Numerical Vectors with a Modular Network [Invited] Seminar Seminar University of California, Berkeley University of California, Berkeley 2007/08/10 English Oral presentation(invited, special) Disclose to all
Closing Remark[Invited] Closing Remark [Invited] International Symposium on Bioinformatics Education and Research International Symposium on Bioinformatics Education and Research Education and Research Organization for Genome Information Science Education and Research Organization for Genome Information Science 2006/12/17 English Oral presentation(invited, special) Disclose to all
A Probabilistic Model for Mining Labeled Ordered Trees and Its Application to Capturing Patterns in Carbohydrate Sugar Chains[Invited] A Probabilistic Model for Mining Labeled Ordered Trees and Its Application to Capturing Patterns in Carbohydrate Sugar Chains [Invited] International Workshop on Scientific Computing: Models, Algorithms and Applications International Workshop on Scientific Computing: Models, Algorithms and Applications 2006/12/08 English Oral presentation(invited, special) Disclose to all
Learning a Probabilistic Model for Labeled Ordered Trees[Invited] Learning a Probabilistic Model for Labeled Ordered Trees [Invited] Second Japan-Taiwan Bilateral Symposium on Bioinformatics Second Japan-Taiwan Bilateral Symposium on Bioinformatics Interchange Association Interchange Association 2006/11/09 English Oral presentation(invited, special) Disclose to all
Learning Probabilistic Models for Mining Labeled Ordered Trees[Invited] Learning Probabilistic Models for Mining Labeled Ordered Trees [Invited] Third Japanese-German Frontiers of Sciences Symposium Third Japanese-German Frontiers of Sciences Symposium https://www.humboldt-foundation.de/web/5060.html https://www.humboldt-foundation.de/web/5060.html 2006/11/03 English Oral presentation(invited, special) Disclose to all
A New Probabilistic Model for Mining Labeled Ordered Trees[Invited] A New Probabilistic Model for Mining Labeled Ordered Trees [Invited] Seminar Seminar IBM T. J. Watson Research Center IBM T. J. Watson Research Center 2006/08/24 English Oral presentation(invited, special) Disclose to all
Probabilistic Model for Mining Labeled Ordered Trees: Capturing Patterns in Carbohydrate Sugar Chains[Invited] Probabilistic Model for Mining Labeled Ordered Trees: Capturing Patterns in Carbohydrate Sugar Chains [Invited] Seminar Seminar National University of Singapore National University of Singapore 2006/03/23 English Oral presentation(invited, special) Disclose to all
Probabilistic Model for Mining Labeled Ordered Trees: Capturing Patterns in Carbohydrate Sugar Chains[Invited] Probabilistic Model for Mining Labeled Ordered Trees: Capturing Patterns in Carbohydrate Sugar Chains [Invited] Seminar Seminar Institute for Infocomm Research (I2R), A*STAR, Singapore Institute for Infocomm Research (I2R), A*STAR, Singapore 2006/03/21 English Oral presentation(invited, special) Disclose to all
A Probabilistic Model-based Approach for Biomedical Text Mining[Invited] A Probabilistic Model-based Approach for Biomedical Text Mining [Invited] First Japan-Taiwan Bilateral Symposium on Bioinformatics First Japan-Taiwan Bilateral Symposium on Bioinformatics Interchange Association Interchange Association 2006/03/14 English Oral presentation(invited, special) Disclose to all
Opening Remark[Invited] Opening Remark [Invited] Sixteenth International Conference on Genome Informatics Sixteenth International Conference on Genome Informatics 2005/12/19 English Oral presentation(invited, special) Disclose to all
Predicting Protein-Protein Interactions with Latent Variable Models[Invited] Predicting Protein-Protein Interactions with Latent Variable Models [Invited] Second Asian Joint Workshop on Protein Informatics Second Asian Joint Workshop on Protein Informatics 2003/02/27 English Oral presentation(invited, special) Disclose to all

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Title language:
Books etc
Author Author(Japanese) Author(English) Title Title(Japanese) Title(English) Publisher Publisher(Japanese) Publisher(English) Publication date Language Type Disclose
宇高 恵子、馬見塚 拓 宇高 恵子、馬見塚 拓 バイオインフォマティクスがわかる バイオインフォマティクスがわかる 羊土社 羊土社 2003 Japanese Contributor Disclose to all
安倍 直樹、馬見塚 拓 安倍 直樹、馬見塚 拓 発見科学とデータマイニング 発見科学とデータマイニング 共立出版 共立出版 2001/06 Japanese Contributor Disclose to all
Hiroshi Mamitsuka Hiroshi Mamitsuka Textbook of Machine Learning and Data Mining (with Bioinformatics Applications) Textbook of Machine Learning and Data Mining (with Bioinformatics Applications) Global Data Science Publishing Global Data Science Publishing 2018/09 English Single Work Disclose to all
Hiroshi Mamitsuka Hiroshi Mamitsuka Methods in Molecular Biology, Volume 1807: Data Mining for Systems Biology: Methods and Protocols, 2nd Edition Methods in Molecular Biology, Volume 1807: Data Mining for Systems Biology: Methods and Protocols, 2nd Edition Humana Press (Springer) Humana Press (Springer) 2018 English Editor Disclose to all
Takigawa, I., Tsuda, K. and Mamitsuka, H. Takigawa, I., Tsuda, K. and Mamitsuka, H. Methods in Molecular Biology, Volume 993: In Silico Models for Drug Discovery Methods in Molecular Biology, Volume 993: In Silico Models for Drug Discovery Humana Press (Springer) Humana Press (Springer) 2013/04 English Contributor Disclose to all
Hancock, T., Takigawa, I. and Mamitsuka, H. Hancock, T., Takigawa, I. and Mamitsuka, H. Identifying Pathways of Co-ordinated Gene Expression. Identifying Pathways of Co-ordinated Gene Expression. Humana Press (Springer) Humana Press (Springer) 2012/11 English Contributor Disclose to all
Mamitsuka, H., DeLisi, C., and Kanehisa, M. Mamitsuka, H., DeLisi, C., and Kanehisa, M. Methods in Molecular Biology, Volume 939: Data Mining for Systems Biology: Methods and Protocols Methods in Molecular Biology, Volume 939: Data Mining for Systems Biology: Methods and Protocols Humana Press (Springer) Humana Press (Springer) 2012/11 English Joint Editor Disclose to all
Wan, R. and Mamitsuka, H. Wan, R. and Mamitsuka, H. Biological Data Mining in Protein Interaction Networks. Biological Data Mining in Protein Interaction Networks. IGI Global IGI Global 2009/05 English Contributor Disclose to all
Ng, S.-K., Mamitsuka, H. and Wong, L. Ng, S.-K., Mamitsuka, H. and Wong, L. Genome Informatics, Volume 19 Genome Informatics, Volume 19 Imperial College Press Imperial College Press 2007 English Joint Editor Disclose to all
Heinrich, R., Mamitsuka, H., Kanehisa, M., Takagi, T. and Miyano, S. Heinrich, R., Mamitsuka, H., Kanehisa, M., Takagi, T. and Miyano, S. Genome Informatics, Volume 16, No. 2 Genome Informatics, Volume 16, No. 2 Universal Academy Press Universal Academy Press 2005 English Joint Editor Disclose to all
Mamitsuka, H., Smith, T. F., Holzhutter, H.-G., Kanehisa, M., DeLisi, C., Heinrich, R. and Miyano, S. Mamitsuka, H., Smith, T. F., Holzhutter, H.-G., Kanehisa, M., DeLisi, C., Heinrich, R. and Miyano, S. Genome Informatics, Volume 15, No.1 Genome Informatics, Volume 15, No.1 Universal Academy Press Universal Academy Press 2004 English Joint Editor Disclose to all
Mamitsuka, H. and Abe, N. Mamitsuka, H. and Abe, N. Lecture Notes in Computer Science, Vol. 2281: Progress in Discovery Science Lecture Notes in Computer Science, Vol. 2281: Progress in Discovery Science Springer Berlin Heidelberg Springer Berlin Heidelberg 2002/04 English Contributor Disclose to all
Abe, N., Yamanishi, K., Nakamura, A., Mamitsuka, H., Takeuchi, J. and Li, H. Abe, N., Yamanishi, K., Nakamura, A., Mamitsuka, H., Takeuchi, J. and Li, H. Foundations of Real World Intelligence Foundations of Real World Intelligence Center for the Study of Language and Information (CSLI) Publications Center for the Study of Language and Information (CSLI) Publications 2001/09 English Contributor Disclose to all

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Title language:
Patents
Inventor(s) Inventor(s) (Japanese) Inventor(s) (English) Title Title(Japanese) Title(English) Stage Patent number Date Disclose
馬見塚 拓 馬見塚 拓 複数文字列アライメント方法およびシステム 複数文字列アライメント方法およびシステム 特許登録 特許3237606 2001/10/05 Disclose to all
馬見塚 拓 馬見塚 拓 隠れマルコフモデル学習システム及び学習方法 隠れマルコフモデル学習システム及び学習方法 特許登録 特許3094860 2000/08/04 Disclose to all
馬見塚 拓 馬見塚 拓 タンパク質立体構造予測方法 タンパク質立体構造予測方法 特許登録 特許3012441 1999/12/10 Disclose to all
馬見塚 拓 馬見塚 拓 構造分割装置 構造分割装置 特許登録 特許2980037 1999/09/17 Disclose to all
馬見塚 拓 馬見塚 拓 タンパク質立体構造予測方法 タンパク質立体構造予測方法 特許登録 特許2940529 1999/06/18 Disclose to all
馬見塚 拓、中村 篤祥、鳥羽 弘康 馬見塚 拓、中村 篤祥、鳥羽 弘康 学習装置及び学習方法 学習装置及び学習方法 特許登録 特許2870458 1999/01/08 Disclose to all
馬見塚 拓 馬見塚 拓 タンパク質立体構造予測方法 タンパク質立体構造予測方法 特許登録 特許2739825 1998/01/23 Disclose to all
馬見塚 拓、安倍 直樹 馬見塚 拓、安倍 直樹 タンパク質立体構造予測方法 タンパク質立体構造予測方法 特許登録 特許2658823 1997/06/06 Disclose to all
馬見塚 拓、山西 健司 馬見塚 拓、山西 健司 タンパク質立体構造予測方法 タンパク質立体構造予測方法 特許登録 特許2551297 1996/08/22 Disclose to all
Mamitsuka, H. and Abe, N. Mamitsuka, H. and Abe, N. Knowledge finding method Knowledge finding method 特許登録 US 6973446 2006/12/06 Disclose to all
Title language:
Awards
Title(Japanese) Title(English) Organization name(Japanese) Organization name(English) Date
Best Performer Broad-DREAM Gene Essentiality Prediction Challenge 2014/11/
IEEE Kansai Section Medal IEEE Kansai Section 2014
Certificate of Appreciation, Service Award IEEE Computer Society 2009
External funds: competitive funds and Grants-in-Aid for Scientific Research (Kakenhi)
Type Position Title(Japanese) Title(English) Period
特別研究員奨励費 Representative -
基盤研究(B) Representative 多様な半構造化データからのデータ構造推定                     2012/04/01-2016/03/31
基盤研究(B) Representative 多様な半構造化データからのデータ構造推定 (平成26年度分) 2014/04/01-2015/03/31
基盤研究(B) Representative 多様な半構造化データからのデータ構造推定 (平成27年度分) 2015/04/01-2016/03/31
基盤研究(B) Representative 複数行列データからのデータ因子構造推定 (平成28年度分) 2016/04/01-2017/03/31
基盤研究(B) Representative 複数行列データからのデータ因子構造推定 (平成29年度分) 2017/04/01-2018/03/31
基盤研究(B) Representative 複数行列データからのデータ因子構造推定 (平成29年度分) 2017/04/01-2018/03/31
基盤研究(B) Representative 複数行列データからのデータ因子構造推定 (平成30年度分) 2018/04/01-2019/03/31
基盤研究(B) Representative 複数行列データからのデータ因子構造推定 (平成30年度分) 2018/04/01-2019/03/31
Teaching subject(s)
Name(Japanese) Name(English) Term Department Period
特別実習(分子設計情報) 通年 薬学部 2011/04-2012/03
情報科学概論 Introduction to Bioinformatics 前期不定 薬学研究科 2011/04-2012/03
ケミカル情報スキル(秋入学用) Skill Development for Chemoinformatics 後期前期 薬学研究科 2011/04-2012/03
ケミカル情報スキル Skill Development for Chemoinformatics 通年不定 薬学研究科 2011/04-2012/03
医薬創成ITビジネス特論 Advanced Drug Discovery & Development II 前期不定 薬学研究科 2011/04-2012/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 通年不定 薬学研究科 2011/04-2012/03
バイオインフォマティクス系コンテンツ制作(秋入学用) Advanced Methods in Bioinformatics 後期前期 薬学研究科 2011/04-2012/03
バイオインフォマティクス系研究 Research in Bioinformatics 通年不定 薬学研究科 2011/04-2012/03
バイオインフォマティクス系研究(秋入学用) Research in Bioinformatics 後期前期 薬学研究科 2011/04-2012/03
医薬創成ITビジネス特論 Advanced Drug Discovery & Development II 前期不定 薬学研究科 2012/04-2013/03
博士後期課程特論 doctoral program 前期集中 薬学研究科 2012/04-2013/03
博士後期課程特論 doctoral program 後期集中 薬学研究科 2012/04-2013/03
ケミカル情報スキル Skill Development for Chemoinformatics 通年不定 薬学研究科 2012/04-2013/03
情報科学概論 Introduction to Bioinformatics 前期不定 薬学研究科 2012/04-2013/03
特別実習(分子設計情報) Research Training(Computational Genomics) 通年 薬学部 2012/04-2013/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 通年不定 薬学研究科 2012/04-2013/03
バイオインフォマティクス系研究 Research in Bioinformatics 通年不定 薬学研究科 2012/04-2013/03
特別実習(分子設計情報) Research Training(Computational Genomics) 通年 薬学部 2013/04-2014/03
情報科学概論 Introduction to Bioinformatics 前期不定 薬学研究科 2013/04-2014/03
ケミカル情報スキル Skill Development for Chemoinformatics 通年不定 薬学研究科 2013/04-2014/03
バイオインフォマティクス系研究 Research in Bioinformatics 通年不定 薬学研究科 2013/04-2014/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 通年不定 薬学研究科 2013/04-2014/03
医薬創成ITビジネス特論 Advanced Drug Discovery & Development II 前期不定 薬学研究科 2013/04-2014/03
博士後期課程特論 doctoral program 前期集中 薬学研究科 2013/04-2014/03
博士後期課程特論 doctoral program 後期集中 薬学研究科 2013/04-2014/03
特別実習(分子設計情報) Research Training(Computational Genomics) 通年 薬学部 2014/04-2015/03
情報科学概論 Introduction to Bioinformatics 前期不定 薬学研究科 2014/04-2015/03
ケミカル情報スキル Skill Development for Chemoinformatics 通年不定 薬学研究科 2014/04-2015/03
バイオインフォマティクス系研究 Research in Bioinformatics 通年不定 薬学研究科 2014/04-2015/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 通年不定 薬学研究科 2014/04-2015/03
バイオインフォマティクス系研究 Research in Bioinformatics 後期前期 薬学研究科 2014/04-2015/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 後期前期 薬学研究科 2014/04-2015/03
ケミカル情報スキル Skill Development for Chemoinformatics 通年不定 薬学研究科 2015/04-2016/03
情報科学概論 Introduction to Bioinformatics 前期不定 薬学研究科 2015/04-2016/03
特別実習(分子設計情報) Research Training(Computational Genomics) 通年 薬学部 2015/04-2016/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 後期前期 薬学研究科 2015/04-2016/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 通年不定 薬学研究科 2015/04-2016/03
バイオインフォマティクス系研究 Research in Bioinformatics 後期前期 薬学研究科 2015/04-2016/03
バイオインフォマティクス系研究 Research in Bioinformatics 通年不定 薬学研究科 2015/04-2016/03
ケミカル情報スキル Skill Development for Chemoinformatics 通年不定 薬学研究科 2016/04-2017/03
情報科学概論 Introduction to Bioinformatics 前期不定 薬学研究科 2016/04-2017/03
特別実習(分子設計情報) Research Training(Computational Genomics) 通年 薬学部 2016/04-2017/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 後期前期 薬学研究科 2016/04-2017/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 通年不定 薬学研究科 2016/04-2017/03
バイオインフォマティクス系研究 Research in Bioinformatics 後期前期 薬学研究科 2016/04-2017/03
バイオインフォマティクス系研究 Research in Bioinformatics 通年不定 薬学研究科 2016/04-2017/03
創薬情報科学概論 Introduction to Bioinformatics for Drug Discovery 前期不定 薬学研究科 2017/04-2018/03
ケミカル情報スキル Skill Development for Chemoinformatics 通年不定 薬学研究科 2017/04-2018/03
特別実習(分子設計情報) Research Training(Computational Genomics) 通年 薬学部 2017/04-2018/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 通年不定 薬学研究科 2017/04-2018/03
バイオインフォマティクス系研究 Research in Bioinformatics 通年不定 薬学研究科 2017/04-2018/03
創薬情報科学概論 Introduction to Bioinformatics for Drug Discovery 前期不定 薬学研究科 2018/04-2019/03
ケミカル情報スキル Skill Development for Chemoinformatics 通年不定 薬学研究科 2018/04-2019/03
特別実習(分子設計情報) Research Training(Computational Genomics) 通年 薬学部 2018/04-2019/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 通年不定 薬学研究科 2018/04-2019/03
バイオインフォマティクス系研究 Research in Bioinformatics 後期前期 薬学研究科 2018/04-2019/03
バイオインフォマティクス系研究 Research in Bioinformatics 通年不定 薬学研究科 2018/04-2019/03
創薬情報科学概論 Introduction to Bioinformatics for Drug Discovery 前期不定 薬学研究科 2019/04-2020/03
ケミカル情報スキル Skill Development for Chemoinformatics 通年不定 薬学研究科 2019/04-2020/03
特別実習(分子設計情報) Research Training(Computational Genomics) 通年 薬学部 2019/04-2020/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 前期不定 薬学研究科 2019/04-2020/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 後期不定 薬学研究科 2019/04-2020/03
バイオインフォマティクス系コンテンツ制作 Advanced Methods in Bioinformatics 通年不定 薬学研究科 2019/04-2020/03
バイオインフォマティクス系研究 Research in Bioinformatics 前期不定 薬学研究科 2019/04-2020/03
バイオインフォマティクス系研究 Research in Bioinformatics 後期不定 薬学研究科 2019/04-2020/03
バイオインフォマティクス系研究 Research in Bioinformatics 通年不定 薬学研究科 2019/04-2020/03

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School management (title, position)
Title Period
バイオインフォマティクスセンター長 2019/04/01-2021/03/31
Faculty management (title, position)
Title Period
化学研究所附属バイオインフォマティクスセンター長 2011/04/01-2013/03/31
研究用計算機専門委員会委員 2011/07/01-2013/06/30
化学研究所ゲノムネット推進室運営委員会委員 2013/04/01-2015/03/31
化学研究所財務委員会委員 2013/04/01-2014/03/31
化学研究所産学連携委員会委員 2013/04/01-2014/03/31
化学研究所将来問題・研究活性化委員会委員 2013/04/01-2014/03/31
化学研究所設備運営委員会委員 2013/04/01-2014/03/31
化学研究所財務委員会委員 2014/04/01-2015/03/31
化学研究所将来問題・研究活性化委員会委員 2014/04/01-2015/03/31
化学研究所設備運営委員会委員 2014/04/01-2015/03/31
化学研究所ゲノムネット推進室運営委員会委員 2015/04/01-2017/03/31
化学研究所財務委員会委員 2015/04/01-2016/03/31
化学研究所産学連携委員会委員 2015/04/01-2016/03/31
化学研究所自己点検評価委員会委員 2015/04/01-2016/03/31
化学研究所将来問題・研究活性化委員会委員 2016/04/01-2017/03/31
化学研究所産学連携委員会委員 2016/04/01-2017/03/31
化学研究所ゲノムネット推進室運営委員会委員 2017/04/01-2019/03/31
化学研究所財務委員会委員 2017/04/01-2018/03/31
化学研究所設備運営委員会委員 2017/04/01-2018/03/31
化学研究所財務委員会委員 2018/04/01-2019/03/31
化学研究所将来問題・研究活性化委員会委員 2018/04/01-2019/03/31
化学研究所広報委員会委員 2018/04/01-2019/03/31
化学研究所運営委員会委員 2019/04/01-2020/03/31
化学研究所財務委員会委員 2019/04/01-2020/03/31
化学研究所広報委員会委員 2019/04/01-2020/03/31
化学研究所ゲノムネット推進室運営委員会委員 2019/04/01-2022/03/31

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