title: Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network.
abstract: We propose a new statistical method for constructing genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network construction is in the estimation of the conditional distribution of each random variable. We consider fitting nonparametric regression models with heterogeneous error variances to the microarray gene expression data to capture the nonlinear structures between genes. A problem still remains to be solved in selecting an optimal graph, which gives the best representation of the system among genes. We theoretically derive a new graph selection criterion from Bayes approach in general situations. The proposed method includes previous methods based on Bayesian networks. We demonstrate the effectiveness of the proposed method through the analysis of Saccharomyces cerevisiae gene expression data newly obtained by disrupting 100 genes.
authors.affiliation: Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan. imoto@ims.u-tokyo.ac.jp
authors.forename: Seiya
authors.initials: S
authors.lastname: Imoto
authors.forename: Kim
authors.initials: K
authors.lastname: Sunyong
authors.forename: Takao
authors.initials: T
authors.lastname: Goto
authors.forename: Sachiyo
authors.initials: S
authors.lastname: Aburatani
authors.forename: Kousuke
authors.initials: K
authors.lastname: Tashiro
authors.forename: Satoru
authors.initials: S
authors.lastname: Kuhara
authors.forename: Satoru
authors.initials: S
authors.lastname: Miyano
mesh_terms: D001185:Artificial Intelligence; D001499:Bayes Theorem; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation / Q000502:physiology*; D008957:Models, Genetic; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012044:Regression Analysis; D029701:Saccharomyces cerevisiae Proteins / Q000235:genetics / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*; D013269:Stochastic Processes; D014157:Transcription Factors / Q000235:genetics / Q000378:metabolism*
chemical_list: D029701:Saccharomyces cerevisiae Proteins; D014157:Transcription Factors