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.