An integrative approach to inferring biologically meaningful gene modules.

ABSTRACT:

Background

The ability to construct biologically meaningful gene networks and modules is critical for contemporary systems biology. Though recent studies have demonstrated the power of using gene modules to shed light on the functioning of complex biological systems, most modules in these networks have shown little association with meaningful biological function. We have devised a method which directly incorporates gene ontology (GO) annotation in construction of gene modules in order to gain better functional association.

Results

We have devised a method, Semantic Similarity-Integrated approach for Modularization (SSIM) that integrates various gene-gene pairwise similarity values, including information obtained from gene expression, protein-protein interactions and GO annot

SUBMITTER: Cho JH 

PROVIDER: S-EPMC3156758 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature