Background gene expression networks significantly enhance drug response prediction by transcriptional profiling.

ABSTRACT: A central goal of gene expression studies coupled with drug response screens is to identify predictive profiles that can be exploited to stratify patients. Numerous methods have been proposed towards this end, most of them focusing on novel statistical methods and model selection techniques that attempt to uncover groups of genes, whose expression profiles are directly and robustly correlated with drug response. However, biological systems process information through the crosstalk of multiple signaling networks, whose ultimate phenotypic consequences may only be determined by the combined input of relevant interacting systems. By restricting predictive signatures to direct gene-drug correlations, biologically meaningful interactions that may serve as superior predictors are ignored. Here w

SUBMITTER: Torkamani A 

PROVIDER: S-EPMC4846279 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature