To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MODA")

In most cases, you don't need to download the package archive at all.

MODA

DOI: 10.18129/B9.bioc.MODA    

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

Bioconductor version: Release (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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MODA")

Documentation

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PDF   Reference Manual
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Details

biocViews DifferentialExpression, GeneExpression, Microarray, Network, Software
Version 1.4.0
In Bioconductor since BioC 3.4 (R-3.3) (1 year)
License GPL (>= 2)
Depends R (>= 3.3)
Imports grDevices, graphics, stats, utils, WGCNA, dynamicTreeCut, igraph, cluster, AMOUNTAIN, RColorBrewer
LinkingTo
Suggests BiocStyle, knitr, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

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
Package Short Url http://bioconductor.org/packages/MODA/
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