- recipe bioconductor-degraph
Two-sample tests on a graph
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/DEGraph.html
- License
GPL-3
- Recipe
- Links
biotools: degraph, doi: 10.1214/11-AOAS528
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.
- package bioconductor-degraph¶
-
- Versions
1.46.0-0
,1.44.0-0
,1.42.0-1
,1.42.0-0
,1.40.0-0
,1.38.0-0
,1.36.0-1
,1.34.0-0
,1.32.0-0
,1.46.0-0
,1.44.0-0
,1.42.0-1
,1.42.0-0
,1.40.0-0
,1.38.0-0
,1.36.0-1
,1.34.0-0
,1.32.0-0
,1.30.0-0
- Depends
bioconductor-graph
>=1.72.0,<1.73.0
bioconductor-kegggraph
>=1.54.0,<1.55.0
bioconductor-ncigraph
>=1.42.0,<1.43.0
bioconductor-rbgl
>=1.70.0,<1.71.0
bioconductor-rgraphviz
>=2.38.0,<2.39.0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-degraph
and update with:
conda update bioconductor-degraph
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-degraph:<tag>
(see bioconductor-degraph/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-degraph/README.html)