Identifying differential correlation in gene/pathway combinations.

ABSTRACT:

Background

An important emerging trend in the analysis of microarray data is to incorporate known pathway information a priori. Expression level "summaries" for pathways, obtained from the expression data for the genes constituting the pathway, permit the inclusion of pathway information, reduce the high dimensionality of microarray data, and have the power to elucidate gene-interaction dependencies which are not already accounted for through known pathway identification.

Results

We present a novel method for the analysis of microarray data that identifies joint differential expression in gene-pathway pairs. This method takes advantage of known gene pathway memberships to compute a summary expression level for each pathway as a whole. Correlations between the pathway express

SUBMITTER: Braun R 

PROVIDER: S-EPMC2613418 | biostudies-literature | 2008 Nov

REPOSITORIES: biostudies-literature