Research on the Gene Regulation Network Construction Algorithm

Abstract

With the completion of Human Genome Project, the discovery of the gene function has become the new research interest in the Post-genome times. Using the microarray techniques, it is possible for scientists to discover the regulatory relationships between genes. The gene regulatory network, in definition, is the simulation or reconstruction of the mutual relations among expressed genes. Gene regulatory network helps us to understand in organisms which, where, when and how genes are expressed though observing visual model of gene expression. In this way, gene regulatory network has been widely applied in the research on relations between genes and diseases or drug target designs. The algorithms of reconstructing gene regulatory networks based on Bayesian network are the main research interest of this paper. We study some models which are often used in reconstructing gene regulatory networks, weighed matrices model, Boolean networks model, mutual-information networks model, linear combination model, directed graphs and undirected graphs.