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 | 2012 | |
|---|---|---|
| j29 |      | Atsushi Niida, Seiya Imoto, Teppei Shimamura, Satoru Miyano: Statistical model-based testing to evaluate the recurrence of genomic aberrations. Bioinformatics 28(12): 115-120 (2012) |
| j28 | | Alok Sharma, Seiya Imoto, Satoru Miyano: A between-Class Overlapping Filter-Based Method for transcriptome Data Analysis. J. Bioinformatics and Computational Biology 10(5) (2012) |
| j27 | | Kotoe Katayama, Rui Yamaguchi, Seiya Imoto, Keiko Matsuura, Kenji Watanabe, Seiya Imoto: Connection between traditional medicine and disease. SIGHIT Record 2(1): 21 (2012) |
| j26 | | Kotoe Katayama, Rui Yamaguchi, Seiya Imoto, Keiko Matsuura, Kenji Watanabe, Seiya Imoto: Connection between traditional medicine and disease. SIGHIT Record 2(1): 21 (2012) |
| j25 | | Alok Sharma, Seiya Imoto, Satoru Miyano: A Top-r Feature Selection Algorithm for Microarray Gene Expression Data. IEEE/ACM Trans. Comput. Biology Bioinform. 9(3): 754-764 (2012) |
| j24 | | Shuichi Kawano, Teppei Shimamura, Atsushi Niida, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki, Ryo Yoshida, Cristin G. Print, Satoru Miyano: Identifying Gene Pathways Associated with Cancer Characteristics via Sparse Statistical Methods. IEEE/ACM Trans. Comput. Biology Bioinform. 9(4): 966-972 (2012) |
| c36 | | Kotoe Katayama, Seiya Imoto, Kenji Watanabe, Rui Yamaguchi, Keiko Matsuura, Satoru Miyano: Analysis of questionnaire for traditional medical and develop decision support system. BIBM Workshops 2012: 762-763 |
| 2011 | ||
| j23 | | Yoshinori Tamada, Rui Yamaguchi, Seiya Imoto, Osamu Hirose, Ryo Yoshida, Masao Nagasaki, Satoru Miyano: SiGN-SSM: open source parallel software for estimating gene networks with state space models. Bioinformatics 27(8): 1172-1173 (2011) |
| j22 | | Kotoe Katayama, Rui Yamaguchi, Seiya Imoto, Keiko Matsuura, Kenji Watanabe, Satoru Miyano: Transform of visual analogue scale data and their clustering. IJKESDP 3(2): 143-151 (2011) |
| j21 | | Yoshinori Tamada, Seiya Imoto, Satoru Miyano: Parallel Algorithm for Learning Optimal Bayesian Network Structure. Journal of Machine Learning Research 12: 2437-2459 (2011) |
| j20 | | Yasuhiro Sogawa, Shohei Shimizu, Teppei Shimamura, Aapo Hyvärinen, Takashi Washio, Seiya Imoto: Estimating exogenous variables in data with more variables than observations. Neural Networks 24(8): 875-880 (2011) |
| j19 | | Kotoe Katayama, Rui Yamaguchi, Seiya Imoto, Keiko Matsuura, Kenji Watanabe, Satoru Miyano: Clustering for Visual Analogue Scale Data in Symbolic Data Analysis. Procedia CS 6: 370-374 (2011) |
| j18 | | Yoshinori Tamada, Seiya Imoto, Hiromitsu Araki, Masao Nagasaki, Cristin G. Print, Stephen D. Charnock-Jones, Satoru Miyano: Estimating Genome-Wide Gene Networks Using Nonparametric Bayesian Network Models on Massively Parallel Computers. IEEE/ACM Trans. Comput. Biology Bioinform. 8(3): 683-697 (2011) |
| c35 | | Masaya M. Saito, Seiya Imoto, Rui Yamaguchi, Satoru Miyano, Tomoyuki Higuchi: Parallel Agent-Based Simulator for Influenza Pandemic. AAMAS Workshops 2011: 361-370 |
| c34 | | Takanori Hasegawa, Rui Yamaguchi, Masao Nagasaki, Seiya Imoto, Satoru Miyano: Poster: Comprehensive pharmacogenomic pathway screening by data assimilation. ICCABS 2011: 246 |
| c33 | | Takanori Hasegawa, Rui Yamaguchi, Masao Nagasaki, Seiya Imoto, Satoru Miyano: Comprehensive Pharmacogenomic Pathway Screening by Data Assimilation. ISBRA 2011: 160-171 |
| p1 | | Seiya Imoto, Yoshinori Tamada, Hiromitsu Araki, Satoru Miyano: Computational Drug Target Pathway Discovery: A Bayesian Network Approach. Handbook of Statistical Bioinformatics 2011: 501-532 |
| 2010 | ||
| j17 | | Teppei Shimamura, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki, Satoru Miyano: Inferring dynamic gene networks under varying conditions for transcriptomic network comparison. Bioinformatics 26(8): 1064-1072 (2010) |
| j16 | | Atsushi Niida, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki, André Fujita, Teppei Shimamura, Satoru Miyano: Model-free unsupervised gene set screening based on information enrichment in expression profiles. Bioinformatics 26(24): 3090-3097 (2010) |
| j15 | | Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru Miyano: Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure. Journal of Machine Learning Research 11: 285-310 (2010) |
| c32 | | Tomoya Higashigaki, Kaname Kojima, Rui Yamaguchi, Masato Inoue, Seiya Imoto, Satoru Miyano: Identifying Hidden Confounders in Gene Networks by Bayesian Networks. BIBE 2010: 168-173 |
| c31 | | Shuichi Kawano, Teppei Shimamura, Atsushi Niida, Seiya Imoto, Rui Yamaguchi, Masao Nagasaki, Ryo Yoshida, Cristin G. Print, Satoru Miyano: Discovering functional gene pathways associated with cancer heterogeneity via sparse supervised learning. BIBM 2010: 253-258 |
| c30 | | Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio, Teppei Shimamura, Seiya Imoto: Discovery of Exogenous Variables in Data with More Variables Than Observations. ICANN (1) 2010: 67-76 |
| c29 | | Seiya Imoto, Kaname Kojima, Eric Perrier, Yoshinori Tamada, Satoru Miyano: Searching Optimal Bayesian Network Structure on Constraint Search Space: Super-Structure Approach. JSAI-isAI Workshops 2010: 210-218 |
| 2009 | ||
| j14 | | Atsushi Niida, Andrew D. Smith, Seiya Imoto, Hiroyuki Aburatani, Michael Q. Zhang, Tetsu Akiyama: Gene set-based module discovery in the breast cancer transcriptome. BMC Bioinformatics 10 (2009) |
| j13 | | Rui Yamaguchi, Seiya Imoto, Satoru Miyano: Network-Based Predictions and Simulations by Biological State Space Models: Search for Drug Mode of Action. J. Comput. Sci. Technol. 25(1): 131-153 (2009) |
| c28 | | Satoru Miyano, Rui Yamaguchi, Yoshinori Tamada, Masao Nagasaki, Seiya Imoto: Gene Networks Viewed through Two Models. BICoB 2009: 54-66 |
| c27 | | Yoshinori Tamada, Hiromitsu Araki, Seiya Imoto, Masao Nagasaki, Atsushi Doi, Yukiko Nakanishi, Yuki Tomiyasu, Kaori Yasuda, Ben Dunmore, Deborah Sanders, Sally Humphreys, Cristin G. Print, Stephen D. Charnock-Jones, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano: Unraveling Dynamic Activities of Autocrine Pathways that Control Drug-Response Transcriptome Networks. Pacific Symposium on Biocomputing 2009: 251-263 |
| 2008 | ||
| j12 | | Osamu Hirose, Ryo Yoshida, Seiya Imoto, Rui Yamaguchi, Tomoyuki Higuchi, Stephen D. Charnock-Jones, Cristin G. Print, Satoru Miyano: Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space models. Bioinformatics 24(7): 932-942 (2008) |
| j11 | | Ryo Yoshida, Masao Nagasaki, Rui Yamaguchi, Seiya Imoto, Satoru Miyano, Tomoyuki Higuchi: Bayesian learning of biological pathways on genomic data assimilation. Bioinformatics 24(22): 2592-2601 (2008) |
| j10 | | Atsushi Niida, Andrew D. Smith, Seiya Imoto, Shuichi Tsutsumi, Hiroyuki Aburatani, Michael Q. Zhang, Tetsu Akiyama: Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells. BMC Bioinformatics 9 (2008) |
| j9 | | Kazuyuki Numata, Ryo Yoshida, Masao Nagasaki, Ayumu Saito, Seiya Imoto, Satoru Miyano: ExonMiner: Web service for analysis of GeneChip Exon array data. BMC Bioinformatics 9 (2008) |
| c26 | | Osamu Hirose, Ryo Yoshida, Rui Yamaguchi, Seiya Imoto, Tomoyuki Higuchi, Satoru Miyano: Analyzing Time Course Gene Expression Data with Biological and Technical Replicates to Estimate Gene Networks by State Space Models. Asia International Conference on Modelling and Simulation 2008: 940-946 |
| c25 | | Kazuyuki Numata, Seiya Imoto, Satoru Miyano: Partial Order-Based Bayesian Network Learning Algorithm for Estimating Gene Networks. BIBM 2008: 357-360 |
| 2007 | ||
| c24 | | Ryo Yoshida, Kazuyuki Numata, Seiya Imoto, Masao Nagasaki, Atsushi Doi, Kazuko Ueno, Satoru Miyano: Computational Genome-Wide Discovery of Aberrant Splice Variations with Exon Expression Profiles. BIBE 2007: 715-722 |
| c23 | | Kazuyuki Numata, Seiya Imoto, Satoru Miyano: A Structure Learning Algorithm for Inference of Gene Networks from Microarray Gene Expression Data Using Bayesian Networks. BIBE 2007: 1280-1284 |
| c22 | | Pramod K. Gupta, Ryo Yoshida, Seiya Imoto, Rui Yamaguchi, Satoru Miyano: Statistical Absolute Evaluation of Gene Ontology Terms with Gene Expression Data. ISBRA 2007: 146-157 |
| c21 | | Alexandre Termier, Yoshinori Tamada, Kazuyuki Numata, Seiya Imoto, Takashi Washio, Tomoyuki Higuchi: DIGDAG, a First Algorithm to Mine Closed Frequent Embedded Sub-DAGs. MLG 2007 |
| 2006 | ||
| j8 | | Ryo Yoshida, Tomoyuki Higuchi, Seiya Imoto, Satoru Miyano: ArrayCluster: an analytic tool for clustering, data visualization and module finder on gene expression profiles. Bioinformatics 22(12): 1538-1539 (2006) |
| j7 | | Reiichiro Nakamichi, Seiya Imoto, Satoru Miyano: Statistical Model Selection Method to Analyze Combinatorial Effects of Snps and Environmental Factors for Binary Disease. International Journal on Artificial Intelligence Tools 15(5): 711-724 (2006) |
| c20 | | Seiya Imoto, Yoshinori Tamada, Hiromitsu Araki, Kaori Yasuda, Cristin G. Print, Stephen D. Charnock-Jones, Deborah Sanders, Christopher J. Savoie, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano: Computational Strategy for Discovering Druggable Gene Networks from Genome-Wide RNA Expression Profiles. Pacific Symposium on Biocomputing 2006: 559-571 |
| 2005 | ||
| j6 | | Yoshinori Tamada, Hideo Bannai, Seiya Imoto, Toshiaki Katayama, Minoru Kanehisa, Satoru Miyano: Utilizing Evolutionary Information and Gene Expression Data for Estimating Gene Networks with Bayesian Network Models. J. Bioinformatics and Computational Biology 3(6): 1295-1314 (2005) |
| c19 | | Ryo Yoshida, Seiya Imoto, Tomoyuki Higuchi: Estimating Time-Dependent Gene Networks from Time Series Microarray Data by Dynamic Linear Models with Markov Switching. CSB 2005: 289-298 |
| c18 | | Naoki Nariai, Yoshinori Tamada, Seiya Imoto, Satoru Miyano: Estimating gene regulatory networks and protein-protein interactions of Saccharomyces cerevisiae from multiple genome-wide data. ECCB/JBI 2005: 212 |
| c17 | | Osamu Hirose, Naoki Nariai, Yoshinori Tamada, Hideo Bannai, Seiya Imoto, Satoru Miyano: Estimating Gene Networks from Expression Data and Binding Location Data via Boolean Networks. ICCSA (3) 2005: 349-356 |
| c16 | | Ryo Yoshida, Seiya Imoto, Tomoyuki Higuchi: A Penalized Likelihood Estimation on Transcriptional Module-Based Clustering. ICCSA (3) 2005: 389-401 |
| 2004 | ||
| j5 | | Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano: Combining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks. J. Bioinformatics and Computational Biology 2(1): 77-98 (2004) |
| c15 | | Reiichiro Nakamichi, Seiya Imoto, Satoru Miyano: Case-Control Study of Binary Disease Trait Considering Interactions between SNPs and Environmental Effects using Logistic Regression. BIBE 2004: 73-78 |
| c14 | | Seiya Imoto, Tomoyuki Higuchi, SunYong Kim, Euna Jeong, Satoru Miyano: Residual Bootstrapping and Median Filtering for Robust Estimation of Gene Networks from Microarray Data. CMSB 2004: 149-160 |
| c13 | | Ryo Yoshida, Tomoyuki Higuchi, Seiya Imoto: A Mixed Factors Model for Dimension Reduction and Extraction of a Group Structure in Gene Expression Data. CSB 2004: 161-172 |
| c12 | | Michiel J. L. de Hoon, Yuko Makita, Seiya Imoto, Kazuo Kobayashi, Naotake Ogasawara, Kenta Nakai, Satoru Miyano: Predicting gene regulation by sigma factors in Bacillus subtilis from genome-wide data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 101-108 |
| c11 | | Tomohiro Ando, Seiya Imoto, Satoru Miyano: Functional Data Analysis of the Dynamics of Gene Regulatory Networks. KELSI 2004: 69-83 |
| c10 | | Michiel J. L. de Hoon, Seiya Imoto, Kazuo Kobayashi, Naotake Ogasawara, Satoru Miyano: Predicting the Operon Structure of Bacillus subtilis Using Operon Length, Intergene Distance, and Gene Expression Information. Pacific Symposium on Biocomputing 2004: 276-287 |
| c9 | | Naoki Nariai, SunYong Kim, Seiya Imoto, Satoru Miyano: Using Protein-Protein Interactions for Refining Gene Networks Estimated from Microarray Data by Bayesian Networks. Pacific Symposium on Biocomputing 2004: 336-347 |
| c8 | | Sascha Ott, Seiya Imoto, Satoru Miyano: Finding Optimal Models for Small Gene Networks. Pacific Symposium on Biocomputing 2004: 557-567 |
| 2003 | ||
| j4 | | SunYong Kim, Seiya Imoto, Satoru Miyano: Inferring gene networks from time series microarray data using dynamic Bayesian networks. Briefings in Bioinformatics 4(3): 228 (2003) |
| j3 | | Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Aburatani, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano: Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network. J. Bioinformatics and Computational Biology 1(2): 231-252 (2003) |
| j2 | | Seiya Imoto, Christopher J. Savoie, Sachiyo Aburatani, SunYong Kim, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano: Use of Gene Networks for Identifying and Validating Drug Targets. J. Bioinformatics and Computational Biology 1(3): 459-474 (2003) |
| c7 | | SunYong Kim, Seiya Imoto, Satoru Miyano: Dynamic Bayesian Network and Nonparametric Regression for Nonlinear Modeling of Gene Networks from Time Series Gene Expression Data. CMSB 2003: 104-113 |
| c6 | | Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano: Combining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks. CSB 2003: 104-113 |
| c5 |  | Yoshinori Tamada, SunYong Kim, Hideo Bannai, Seiya Imoto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano: Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection. ECCB 2003: 227-236 |
| c4 | | Michiel J. L. de Hoon, Seiya Imoto, Kazuo Kobayashi, Naotake Ogasawara, Satoru Miyano: Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data of Bacillus Subtilis Using Differential Equations. Pacific Symposium on Biocomputing 2003: 17-28 |
| 2002 | ||
| j1 | | Michiel J. L. de Hoon, Seiya Imoto, Satoru Miyano: Statistical analysis of a small set of time-ordered gene expression data using linear splines. Bioinformatics 18(11): 1477-1485 (2002) |
| c3 | | Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Aburatani, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano: Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network. CSB 2002: 219-227 |
| c2 | | Michiel J. L. de Hoon, Seiya Imoto, Satoru Miyano: Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data Using Differential Equations. Discovery Science 2002: 267-274 |
| c1 | | Seiya Imoto, Takao Goto, Satoru Miyano: Estimation of Genetic Networks and Functional Structures Between Genes by Using Bayesian Networks and Nonparametric Regression. Pacific Symposium on Biocomputing 2002: 175-186 |
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