MODA
This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see MODA.
MODA: MOdule Differential Analysis for weighted gene co-expression network
Bioconductor version: 3.18
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 "4.3") 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 | |
| NEWS | Text |
Details
| biocViews | DifferentialExpression, GeneExpression, Microarray, Network, Software |
| Version | 1.28.0 |
| 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 |
| 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_1.28.0.tar.gz |
| Windows Binary | MODA_1.28.0.zip |
| macOS Binary (x86_64) | MODA_1.28.0.tgz |
| macOS Binary (arm64) | MODA_1.28.0.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 |