MODA
MODA: MOdule Differential Analysis for weighted gene co-expression network
Bioconductor version: Release (3.19)
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("MODA")
):
Installation
To install this package, start R (version "4.4") 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
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MODA")
Vignette Title | HTML |
Reference Manual | |
NEWS | Text |
Details
biocViews | DifferentialExpression, GeneExpression, Microarray, Network, Software |
Version | 1.30.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (8 years) |
License | GPL (>= 2) |
Depends | R (>= 3.3) |
Imports | grDevices, graphics, stats, utils, WGCNA, dynamicTreeCut, igraph, cluster, AMOUNTAIN, RColorBrewer |
System Requirements | |
URL |
See More
Suggests | BiocStyle, knitr, rmarkdown |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | MODA_1.30.0.tar.gz |
Windows Binary | MODA_1.30.0.zip |
macOS Binary (x86_64) | MODA_1.30.0.tgz |
macOS Binary (arm64) | MODA_1.30.0.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 |