A scalable approach for discovering conserved active subnetworks across species.

ABSTRACT: Overlaying differential changes in gene expression on protein interaction networks has proven to be a useful approach to interpreting the cell's dynamic response to a changing environment. Despite successes in finding active subnetworks in the context of a single species, the idea of overlaying lists of differentially expressed genes on networks has not yet been extended to support the analysis of multiple species' interaction networks. To address this problem, we designed a scalable, cross-species network search algorithm, neXus (Network-cross(X)-species-Search), that discovers conserved, active subnetworks based on parallel differential expression studies in multiple species. Our approach leverages functional linkage networks, which provide more comprehensive coverage of functional relat

SUBMITTER: Deshpande R 

PROVIDER: S-EPMC3000367 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature