 | 2012 |
| 63 |  | 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) |
| 62 |  | 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) |
| 61 |  | Kotoe Katayama,
Rui Yamaguchi,
Seiya Imoto,
Keiko Matsuura,
Kenji Watanabe,
Seiya Imoto:
Connection between traditional medicine and disease.
SIGHIT Record 2(1): 21 (2012) |
| 60 |  | Kotoe Katayama,
Rui Yamaguchi,
Seiya Imoto,
Keiko Matsuura,
Kenji Watanabe,
Seiya Imoto:
Connection between traditional medicine and disease.
SIGHIT Record 2(1): 21 (2012) |
| 2011 |
| 59 |  | Masaya M. Saito,
Seiya Imoto,
Rui Yamaguchi,
Satoru Miyano,
Tomoyuki Higuchi:
Parallel Agent-Based Simulator for Influenza Pandemic.
AAMAS Workshops 2011: 361-370 |
| 58 |  | Takanori Hasegawa,
Rui Yamaguchi,
Masao Nagasaki,
Seiya Imoto,
Satoru Miyano:
Poster: Comprehensive pharmacogenomic pathway screening by data assimilation.
ICCABS 2011: 246 |
| 57 |  | Takanori Hasegawa,
Rui Yamaguchi,
Masao Nagasaki,
Seiya Imoto,
Satoru Miyano:
Comprehensive Pharmacogenomic Pathway Screening by Data Assimilation.
ISBRA 2011: 160-171 |
| 56 |  | Seiya Imoto,
Yoshinori Tamada,
Hiromitsu Araki,
Satoru Miyano:
Computational Drug Target Pathway Discovery: A Bayesian Network Approach.
Handbook of Statistical Bioinformatics 2011: 501-532 |
| 55 |  | 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) |
| 54 |  | 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) |
| 53 |  | 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) |
| 52 |  | Yoshinori Tamada,
Seiya Imoto,
Satoru Miyano:
Parallel Algorithm for Learning Optimal Bayesian Network Structure.
Journal of Machine Learning Research 12: 2437-2459 (2011) |
| 51 |  | 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) |
| 50 |  | 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) |
| 2010 |
| 49 |  | 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 |
| 48 |  | 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 |
| 47 |  | 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 |
| 46 |  | 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 |
| 45 |  | 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) |
| 44 |  | 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) |
| 43 |  | 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) |
| 2009 |
| 42 |  | Satoru Miyano,
Rui Yamaguchi,
Yoshinori Tamada,
Masao Nagasaki,
Seiya Imoto:
Gene Networks Viewed through Two Models.
BICoB 2009: 54-66 |
| 41 |  | 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 |
| 40 |  | 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) |
| 39 |  | 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) |
| 2008 |
| 38 |  | 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 |
| 37 |  | Kazuyuki Numata,
Seiya Imoto,
Satoru Miyano:
Partial Order-Based Bayesian Network Learning Algorithm for Estimating Gene Networks.
BIBM 2008: 357-360 |
| 36 |  | 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) |
| 35 |  | 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) |
| 34 |  | 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) |
| 33 |  | 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) |
| 2007 |
| 32 |  | 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 |
| 31 |  | 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 |
| 30 |  | 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 |
| 29 |  | 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 |
| 28 |  | 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 |
| 27 |  | 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) |
| 26 |  | 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) |
| 2005 |
| 25 |  | 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 |
| 24 |  | 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 |
| 23 |  | 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 |
| 22 |  | Ryo Yoshida,
Seiya Imoto,
Tomoyuki Higuchi:
A Penalized Likelihood Estimation on Transcriptional Module-Based Clustering.
ICCSA (3) 2005: 389-401 |
| 21 |  | 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) |
| 2004 |
| 20 |  | 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 |
| 19 |  | 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 |
| 18 |  | 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 |
| 17 |  | 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 |
| 16 |  | Tomohiro Ando,
Seiya Imoto,
Satoru Miyano:
Functional Data Analysis of the Dynamics of Gene Regulatory Networks.
KELSI 2004: 69-83 |
| 15 |  | 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 |
| 14 |  | 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 |
| 13 |  | Sascha Ott,
Seiya Imoto,
Satoru Miyano:
Finding Optimal Models for Small Gene Networks.
Pacific Symposium on Biocomputing 2004: 557-567 |
| 12 |  | 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) |
| 2003 |
| 11 |  | 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 |
| 10 |  | 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 |
| 9 |  | 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 |
| 8 |  | 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 |
| 7 |  | 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) |
| 6 |  | 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) |
| 5 |  | 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) |
| 2002 |
| 4 |  | 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 |
| 3 |  | 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 |
| 2 |  | 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 |
| 1 |  | 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) |