-
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
bioconductor-annotationhub >=2.14.0,<2.15.0
bioconductor-biobase >=2.42.0,<2.43.0
bioconductor-biocfilecache >=1.6.0,<1.7.0
bioconductor-biocparallel >=1.16.0,<1.17.0
bioconductor-edger >=3.24.0,<3.25.0
bioconductor-enrichmentbrowser >=2.12.0,<2.13.0
bioconductor-experimenthub >=1.8.0,<1.9.0
bioconductor-geoquery >=2.50.0,<2.51.0
bioconductor-keggandmetacoredzpathwaysgeo >=1.2.0,<1.3.0
bioconductor-keggdzpathwaysgeo >=1.20.0,<1.21.0
bioconductor-s4vectors >=0.20.0,<0.21.0
bioconductor-summarizedexperiment >=1.12.0,<1.13.0
r-base >=3.5.1,<3.5.2.0a0
- Required By
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)