-
recipe
bioconductor-gseabenchmarker¶ The GSEABenchmarkeR package implements an extendable framework for reproducible evaluation of set- and network-based methods for enrichment analysis of gene expression data. This includes support for the efficient execution of these methods on comprehensive real data compendia (microarray and RNA-seq) using parallel computation on standard workstations and institutional computer grids. Methods can then be assessed with respect to runtime, statistical significance, and relevance of the results for the phenotypes investigated.
- Homepage
https://bioconductor.org/packages/3.9/bioc/html/GSEABenchmarkeR.html
- License
Artistic-2.0
- Recipe
-
package
bioconductor-gseabenchmarker¶ 
- Versions
1.2.0-0
- Depends bioconductor-annotationdbi
>=1.44.0,<1.45.0
- Depends bioconductor-annotationhub
>=2.14.0,<2.15.0
- Depends bioconductor-biobase
>=2.42.0,<2.43.0
- Depends bioconductor-biocfilecache
>=1.6.0,<1.7.0
- Depends bioconductor-biocparallel
>=1.16.0,<1.17.0
- Depends bioconductor-edger
>=3.24.0,<3.25.0
- Depends bioconductor-enrichmentbrowser
>=2.12.0,<2.13.0
- Depends bioconductor-experimenthub
>=1.8.0,<1.9.0
- Depends bioconductor-geoquery
>=2.50.0,<2.51.0
- Depends bioconductor-keggandmetacoredzpathwaysgeo
>=1.2.0,<1.3.0
- Depends bioconductor-keggdzpathwaysgeo
>=1.20.0,<1.21.0
- Depends bioconductor-s4vectors
>=0.20.0,<0.21.0
- Depends bioconductor-summarizedexperiment
>=1.12.0,<1.13.0
- Depends r-base
>=3.5.1,<3.5.2.0a0
- Depends r-rappdirs
- Requirements
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-gseabenchmarker
and update with:
conda update bioconductor-gseabenchmarker
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-gseabenchmarker:<tag>
(see bioconductor-gseabenchmarker/tags for valid values for
<tag>)
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-gseabenchmarker/README.html)