Large-scale modeling of condition-specific gene regulatory networks by information integration and inference.

ABSTRACT: Understanding how regulatory networks globally coordinate the response of a cell to changing conditions, such as perturbations by shifting environments, is an elementary challenge in systems biology which has yet to be met. Genome-wide gene expression measurements are high dimensional as these are reflecting the condition-specific interplay of thousands of cellular components. The integration of prior biological knowledge into the modeling process of systems-wide gene regulation enables the large-scale interpretation of gene expression signals in the context of known regulatory relations. We developed COGERE (http://mips.helmholtz-muenchen.de/cogere), a method for the inference of condition-specific gene regulatory networks in human and mouse. We integrated existing knowledge of regulatory

SUBMITTER: Ellwanger DC 

PROVIDER: S-EPMC4245971 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature