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:38 - 18 self

Active Bibliography

56 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
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
426 Modeling and simulation of genetic regulatory systems: A literature review – Hidde De Jong - 2002
986 Bayes Factors – Robert E. Kass, Adrian E. Raftery - 1995
741 Using Bayesian networks to analyze expression data – Nir Friedman, Michal Linial, Iftach Nachman - 2000
857 A tutorial on learning with Bayesian networks – David Heckerman - 1995
594 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
512 Learning probabilistic relational models – Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer - 1999