MultiDCoX: Multi-factor analysis of differential co-expression.

ABSTRACT: BACKGROUND:Differential co-expression (DCX) signifies change in degree of co-expression of a set of genes among different biological conditions. It has been used to identify differential co-expression networks or interactomes. Many algorithms have been developed for single-factor differential co-expression analysis and applied in a variety of studies. However, in many studies, the samples are characterized by multiple factors such as genetic markers, clinical variables and treatments. No algorithm or methodology is available for multi-factor analysis of differential co-expression. RESULTS:We developed a novel formulation and a computationally efficient greedy search algorithm called MultiDCoX to perform multi-factor differential co-expression analysis. Simulated data analysis demonstrates

SUBMITTER: Liany H 

PROVIDER: S-EPMC5751780 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature