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.

Versions 1.32.0, 1.30.0
License GPL-3
Links biotools: degraph, doi: 10.1214/11-AOAS528


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-degraph

and update with:

conda update bioconductor-degraph


A Docker container is available at