DOI: 10.18129/B9.bioc.MODA  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see MODA.

MODA: MOdule Differential Analysis for weighted gene co-expression network

Bioconductor version: 3.17

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.

Author: Dong Li, James B. Brown, Luisa Orsini, Zhisong Pan, Guyu Hu and Shan He

Maintainer: Dong Li <dxl466 at>

Citation (from within R, enter citation("MODA")):


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biocViews DifferentialExpression, GeneExpression, Microarray, Network, Software
Version 1.26.0
In Bioconductor since BioC 3.4 (R-3.3) (7 years)
License GPL (>= 2)
Depends R (>= 3.3)
Imports grDevices, graphics, stats, utils, WGCNA, dynamicTreeCut, igraph, cluster, AMOUNTAIN, RColorBrewer
Suggests BiocStyle, knitr, rmarkdown
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