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

Bioconductor version: Release (3.19)

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")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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biocViews DifferentialExpression, GeneExpression, Microarray, Network, Software
Version 1.30.0
In Bioconductor since BioC 3.4 (R-3.3) (8 years)
License GPL (>= 2)
Depends R (>= 3.3)
Imports grDevices, graphics, stats, utils, WGCNA, dynamicTreeCut, igraph, cluster, AMOUNTAIN, RColorBrewer
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Follow Installation instructions to use this package in your R session.

Source Package MODA_1.30.0.tar.gz
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macOS Binary (x86_64) MODA_1.30.0.tgz
macOS Binary (arm64) MODA_1.30.0.tgz
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