title: Identification of consistent functional genetic modules.
abstract: It is often of scientific interest to find a set of genes that may represent an independent functional module or network, such as a functional gene expression module causing a biological response, a transcription regulatory network, or a constellation of mutations jointly causing a disease. In this paper we are specifically interested in identifying modules that control a particular outcome variable such as a disease biomarker. We discuss the statistical properties that functional networks should possess and introduce the concept of network consistency which should be satisfied by real functional networks of cooperating genes, and directly use the concept in the pathway discovery method we present. Our method gives superior performance for all but the simplest functional networks.
authors.forename: Jeffrey C
authors.initials: JC
authors.lastname: Miecznikowski
authors.forename: Daniel P
authors.initials: DP
authors.lastname: Gaile
authors.forename: Xiwei
authors.initials: X
authors.lastname: Chen
authors.forename: David L
authors.initials: DL
authors.lastname: Tritchler
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods; D003198:Computer Simulation; D015870:Gene Expression; D020869:Gene Expression Profiling; D053263:Gene Regulatory Networks; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D015203:Reproducibility of Results