To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DEGraph")
In most cases, you don't need to download the package archive at all.
This package is for version 2.8 of Bioconductor; for the stable, up-to-date release version, see DEGraph.
Bioconductor version: 2.8
DEGraph implements recent hypothesis testing methods which directly assess whether a particular gene network is differentially expressed between two conditions. This is to be contrasted with the more classical two-step approaches which first test individual genes, then test gene sets for enrichment in differentially expressed genes. These recent methods take into account the topology of the network to yield more powerful detection procedures. DEGraph provides methods to easily test all KEGG pathways for differential expression on any gene expression data set and tools to visualize the results.
Author: Laurent Jacob, Pierre Neuvial and Sandrine Dudoit
Maintainer: Laurent Jacob <laurent.jacob at gmail.com>
Citation (from within R,
enter citation("DEGraph")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DEGraph")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DEGraph")
Follow Installation instructions to use this package in your R session.
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: