RT Journal Article
SR Electronic
T1 MODA: MOdule Differential Analysis for weighted gene co-expression network
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 053496
DO 10.1101/053496
A1 Dong Li
A1 James B. Brown
A1 Luisa Orsini
A1 Zhisong Pan
A1 Guyu Hu
A1 Shan He
YR 2016
UL http://biorxiv.org/content/early/2016/05/31/053496.abstract
AB Gene co-expression network differential analysis is designed to help biologists understand gene expression patterns under different conditions. We have implemented an R package called MODA (Module Differential Analysis) for gene co-expression network differential analysis. Based on transcriptomic data, MODA can be used to estimate and construct condition-specific gene co-expression networks, and identify differentially expressed subnetworks as conserved or condition specific modules which are potentially associated with relevant biological processes. The usefulness of the method is also demonstrated by synthetic data as well as Daphnia magna gene expression data under different environmental stresses.