A composite network of conserved and tissue specific gene interactions reveals possible genetic interactions in glioma.

ABSTRACT: Differential co-expression network analyses have recently become an important step in the investigation of cellular differentiation and dysfunctional gene-regulation in cell and tissue disease-states. The resulting networks have been analyzed to identify and understand pathways associated with disorders, or to infer molecular interactions. However, existing methods for differential co-expression network analysis are unable to distinguish between various forms of differential co-expression. To close this gap, here we define the three different kinds (conserved, specific, and differentiated) of differential co-expression and present a systematic framework, CSD, for differential co-expression network analysis that incorporates these interactions on an equal footing. In addition, our method in

SUBMITTER: Voigt A 

PROVIDER: S-EPMC5634634 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature