DECODE: an integrated differential co-expression and differential expression analysis of gene expression data.

ABSTRACT:

Background

Both differential expression (DE) and differential co-expression (DC) analyses are appreciated as useful tools in understanding gene regulation related to complex diseases. The performance of integrating DE and DC, however, remains unexplored.

Results

In this study, we proposed a novel analytical approach called DECODE (Differential Co-expression and Differential Expression) to integrate DC and DE analyses of gene expression data. DECODE allows one to study the combined features of DC and DE of each transcript between two conditions. By incorporating information of the dependency between DC and DE variables, two optimal thresholds for defining substantial change in expression and co-expression are systematically defined for each gene based on chi-square maximizati

SUBMITTER: Lui TW 

PROVIDER: S-EPMC4449974 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature