GroupRank: rank candidate genes in PPI network by differentially expressed gene groups.

ABSTRACT: Many cell activities are organized as a network, and genes are clustered into co-expressed groups if they have the same or closely related biological function or they are co-regulated. In this study, based on an assumption that a strong candidate disease gene is more likely close to gene groups in which all members coordinately differentially express than individual genes with differential expression, we developed a novel disease gene prioritization method GroupRank by integrating gene co-expression and differential expression information generated from microarray data as well as PPI network. A candidate gene is ranked high using GroupRank if it is differentially expressed in disease and control or is close to differentially co-expressed groups in PPI network. We tested our method on data

SUBMITTER: Wang Q 

PROVIDER: S-EPMC4199715 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature