PT  - JOURNAL ARTICLE
AU  - Dong Li
AU  - James B. Brown
AU  - Luisa Orsini
AU  - Zhisong Pan
AU  - Guyu Hu
AU  - Shan He
TI  - MODA: MOdule Differential Analysis for weighted gene co-expression network
AID  - 10.1101/053496
DP  - 2016 Jan 01
TA  - bioRxiv
PG  - 053496
4099  - http://biorxiv.org/content/early/2016/06/03/053496.short
4100  - http://biorxiv.org/content/early/2016/06/03/053496.full
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.