Genome-wide matching of genes to cellular roles using guilt-by-association models derived from single sample analysis.

ABSTRACT:

Background

High-throughput methods that ascribe a cellular or physiological function for each gene product are useful to understand the roles of genes that have not been extensively characterized by molecular or genetic approaches. One method to infer gene function is "guilt-by-association", in which the expression pattern of a poorly characterized gene is shown to co-vary with the expression of better-characterized genes. The function of the poorly characterized gene is inferred from the known function(s) of the well-described genes. For example, genes co-expressed with transcripts that vary during the cell cycle, development, environmental stresses, and with oncogenesis have been implicated in those processes.

Findings

While examining the expression characteristics of seve

SUBMITTER: Klomp JA 

PROVIDER: S-EPMC3599284 | biostudies-literature | 2012 Jul

REPOSITORIES: biostudies-literature