This is the released version of MODA; for the devel version, see MODA.

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


Bioconductor version: Release (3.22)

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 cs.bham.ac.uk>

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

Installation

To install this package, start R (version "4.5") and enter: 


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MODA")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MODA")

Details

biocViews DifferentialExpression, GeneExpression, Microarray, Network, Software
Version 1.36.0
In Bioconductor since BioC 3.4 (R-3.3) (9.5 years)
License GPL (>= 2)
Depends R (>= 3.3)
Imports grDevices, graphics, stats, utils, WGCNA, dynamicTreeCut, igraph, cluster, AMOUNTAIN, RColorBrewer
System Requirements
URL
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Follow Installation instructions to use this package in your R session.