Package: DEGraph
Title: Two-sample tests on a graph
Version: 1.65.1
Date: 2012-04-27
Author: Laurent Jacob, Pierre Neuvial and Sandrine Dudoit
Maintainer: Laurent Jacob <laurent.jacob@gmail.com>
Description: 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.
License: GPL-3
LazyLoad: yes
Imports: graph, KEGGgraph, lattice, mvtnorm, R.methodsS3, RBGL,
        Rgraphviz, rrcov, NCIgraph
Suggests: corpcor, fields, graph, KEGGgraph, lattice, marray, RBGL,
        rrcov, Rgraphviz, NCIgraph
Depends: R (>= 2.10.0), R.utils
biocViews: Microarray, DifferentialExpression, GraphAndNetwork,
        Network, NetworkEnrichment, DecisionTree
Config/Bioconductor/UnsupportedPlatforms: windows, macosx
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libxml2-dev
        libssl-dev python3 libzmq3-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-05-29 18:37:42 UTC
RemoteUrl: https://github.com/bioc/DEGraph
RemoteRef: HEAD
RemoteSha: 00311b35c592acaf21018ba2a781abe1aac65e6e
NeedsCompilation: no
Packaged: 2026-07-04 00:53:18 UTC; root