This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

Menu

Documentation:

R / CRAN packages and documentation

Support

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

MODA

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

Bioconductor version: Release (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 cs.bham.ac.uk>

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

Installation

To install this package, start R (version "4.3") 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")
Vignette Title HTML
Reference Manual PDF
NEWS Text

Details

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
Linking To
Suggests BiocStyle, knitr, rmarkdown
System Requirements
Enhances
URL
See More
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package MODA_1.26.0.tar.gz
Windows Binary MODA_1.26.0.zip
macOS Binary (x86_64) MODA_1.26.0.tgz
macOS Binary (arm64) MODA_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MODA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MODA
Bioc Package Browser https://code.bioconductor.org/browse/MODA/
Package Short Url https://bioconductor.org/packages/MODA/
Package Downloads Report Download Stats