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.
Bioconductor version: Release (3.5)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("MODA")
HTML | Vignette Title | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneExpression, Microarray, Network, Software |
Version | 1.2.0 |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | MODA_1.2.0.tar.gz |
Windows Binary | MODA_1.2.0.zip |
Mac OS X 10.11 (El Capitan) | MODA_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/MODA |
Package Short Url | http://bioconductor.org/packages/MODA/ |
Package Downloads Report | Download Stats |
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