Seiya Imoto

	2009
39		Satoru Miyano, Rui Yamaguchi, Yoshinori Tamada, Masao Nagasaki, Seiya Imoto: Gene Networks Viewed through Two Models. BICoB 2009: 54-66
38		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)
	2008
37		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
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)

Coauthor Index

1	Hiroyuki Aburatani	[35] [38]
2	Sachiyo Aburatani	[4] [5] [6]
3	Tetsu Akiyama	[35] [38]
4	Tomohiro Ando	[16]
5	Hiromitsu Araki	[28]
6	Hideo Bannai	[9] [21] [23]
7	Stephen D. Charnock-Jones	[28] [33]
8	Atsushi Doi	[31]
9	Takao Goto	[2] [4] [6] [10] [12]
10	Pramod K. Gupta	[30]
11	Tomoyuki Higuchi	[10] [12] [18] [19] [22] [25] [27] [29] [33] [34] [37]
12	Osamu Hirose	[23] [33] [37]
13	Michiel J. L. de Hoon	[1] [3] [8] [15] [17]
14	Euna Jeong	[19]
15	Minoru Kanehisa	[21]
16	Toshiaki Katayama	[21]
17	SunYong Kim	[4] [5] [6] [7] [9] [11] [14] [19]
18	Kazuo Kobayashi	[8] [15] [17]
19	Satoru Kuhara	[4] [5] [6] [9] [10] [12] [28]
20	Yuko Makita	[17]
21	Satoru Miyano	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [19] [20] [21] [23] [24] [26] [27] [28] [30] [31] [32] [33] [34] [36] [37] [39]
22	Masao Nagasaki	[31] [34] [36] [39]
23	Kenta Nakai	[17]
24	Reiichiro Nakamichi	[20] [26]
25	Naoki Nariai	[14] [23] [24]
26	Atsushi Niida	[35] [38]
27	Kazuyuki Numata	[29] [31] [32] [36]
28	Naotake Ogasawara	[8] [15] [17]
29	Sascha Ott	[13]
30	Cristin G. Print	[28] [33]
31	Ayumu Saito	[36]
32	Deborah Sanders	[28]
33	Christopher J. Savoie	[5] [28]
34	Andrew D. Smith	[35] [38]
35	Yoshinori Tamada	[9] [21] [23] [24] [28] [29] [39]
36	Kousuke Tashiro	[4] [5] [6] [9] [10] [12] [28]
37	Alexandre Termier	[29]
38	Shuichi Tsutsumi	[35]
39	Kazuko Ueno	[31]
40	Takashi Washio	[29]
41	Rui Yamaguchi	[30] [33] [34] [37] [39]
42	Kaori Yasuda	[28]
43	Ryo Yoshida	[18] [22] [25] [27] [30] [31] [33] [34] [36] [37]
44	Michael Q. Zhang	[35] [38]

Colors in the list of coauthors