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MODA

This is the development version of MODA; for the stable release version, see MODA.

All Bioconductor versions of MODA

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4

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

Bioconductor version: 3.24 · Package version: 1.39.0

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>

DOI: 10.18129/B9.bioc.MODA

Citation

From within R, enter citation("MODA"):

Dong Li, James B. Brown, Luisa Orsini, Zhisong Pan, Guyu Hu and Shan He. MODA: MODA: MOdule Differential Analysis for weighted gene co-expression network. doi:10.18129/B9.bioc.MODA, R package version 1.39.0, https://bioconductor.org/packages/MODA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("MODA")

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

Details

Version1.39.0
LicenseGPL (>= 2)
Last updated2026-04-28
In Bioconductor sinceBioC 3.4 (R-3.3) (9 years)
Downloads rank1683 of 2,456
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, GeneExpression, Microarray, Network, Software
Package Short Url https://bioconductor.org/packages/MODA/

Documentation

Reference ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packageMODA_1.39.0.tar.gz
Windows binary (x86_64)MODA_1.39.0.zip
macOS binary (arm64)MODA_1.39.0.tgz
macOS binary (x86_64)MODA_1.39.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/MODA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/MODA
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 3.3)

Imports: grDevices, graphics, stats, utils, WGCNA, dynamicTreeCut, igraph, cluster, AMOUNTAIN, RColorBrewer

Suggests: BiocStyle, knitr, rmarkdown