Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network (2002)

by Seiya Imoto , Kim Sunyong , Takao Goto , Sachiyo Aburatani , Kousuke Tashiro , Satoru Kuhara , Satoru Miyano
Venue:Proc. 1st IEEE Computer Society Bioinformatics Conference
Citations:41 - 18 self

Active Bibliography

55 Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks – Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano - 2003
Microarray, Gene network, Bayesian network, Biological knowledgeCombining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks – Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano, Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano
Bioinformatics – Vol No Pages - 2003
3 Error tolerant model for incorporating biological knowledge with expression data in estimating gene networks – Seiya Imoto , Tomoyuki Higuchi , Takao Goto , Satoru Miyano - 2006
7 GeneNetwork: an interactive tool for reconstruction of genetic networks using microarray data – C. C. Wu, H. C. Huang, H. F. Juan, S. T. Chen - 2004
15 An effective structure learning method for constructing gene networks – Xue-wen Chen, Gopalakrishna Anantha, Xinkun Wang - 2006
56 Dynamic Bayesian Network and Nonparametric Regression for Nonlinear Modeling of Gene Networks from Time Series Gene Expression Data – Sunyong Kim, Seiya Imoto, Satoru Miyano - 2003
12 Learning Bayes net structure from sparse data sets – Kevin P. Murphy - 2001
DOI: 10.1093/bioinformatics/btg1082 – Yoshinori Tamada, Sunyong Kim, Hideo Bannai, Seiya Imoto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano - 2003
Inferring Regulatory Networks from Multiple Sources of Genomic Data – Chen-hsiang Yeang, Tommi S. Jaakkola - 2004
9 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains – Helge Langseth, Thomas D. Nielsen, Richard Dybowski - 2003
Learning Gene Network Using Bayesian Network Framework – Liu Tiefei, Liu Tiefei - 2005
Structural Learning of Genetic Regulatory Networks Based on Prior Biological Knowledge and Microarray Gene Expression Measurements – Yang Dai, Peter Larsen
Estimating Gene Networks from Gene . . . – Yoshinori Tamada, Sunyong Kim, Hideo Bannai, Seiya Imoto, Kousuke Tashiro, Satoru Kuhara, Satoru Miyano - 2003
7 A Bayesian network classification methodology for gene expression data – Paul Helman, Robert Veroff, Susan R. Atlas, Cheryl Willman - 2004
unknown title – Christian Bender, Frauke Henjes, Holger Fröhlich, Stefan Wiemann, Ulrike Korf, Tim Beißbarth
3 A Bayesian Local Causal Discovery Framework – Subramani Mani - 2005
44 Learning Module Networks – Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman - 2003
9 Exploiting parameter domain knowledge for learning in Bayesian networks – Radu Stefan Niculescu - 2005