2009 |
36 | EE | Satoru Miyano,
Rui Yamaguchi,
Yoshinori Tamada,
Masao Nagasaki,
Seiya Imoto:
Gene Networks Viewed through Two Models.
BICoB 2009: 54-66 |
2008 |
35 | EE | 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 |
34 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Ryo Yoshida,
Seiya Imoto,
Tomoyuki Higuchi:
A Penalized Likelihood Estimation on Transcriptional Module-Based Clustering.
ICCSA (3) 2005: 389-401 |
21 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Tomohiro Ando,
Seiya Imoto,
Satoru Miyano:
Functional Data Analysis of the Dynamics of Gene Regulatory Networks.
KELSI 2004: 69-83 |
15 | EE | 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 | EE | 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 | EE | Sascha Ott,
Seiya Imoto,
Satoru Miyano:
Finding Optimal Models for Small Gene Networks.
Pacific Symposium on Biocomputing 2004: 557-567 |
12 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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) |