MODA

This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see MODA.

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


Bioconductor version: 3.6

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 "3.4") 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

Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, GeneExpression, Microarray, Network, Software
Version 1.4.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License GPL (>= 2)
Depends R (>= 3.3)
Imports grDevices, graphics, stats, utils, WGCNA, dynamicTreeCut, igraph, cluster, AMOUNTAIN, RColorBrewer
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Suggests BiocStyle, knitr, rmarkdown
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package MODA_1.4.0.tar.gz
Windows Binary MODA_1.4.0.zip
Mac OS X 10.11 (El Capitan) MODA_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MODA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MODA
Package Short Url https://bioconductor.org/packages/MODA/
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Old Source Packages for BioC 3.6 Source Archive