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.
MODA
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MODA: MOdule Differential Analysis for weighted gene co-expression network
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")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MODA")
Documentation
| HTML | Vignette Title | |
| Reference Manual | ||
| Text | NEWS |
Details
| 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 |
Package Archives
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 |
Documentation »
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