- recipe bioconductor-gseabenchmarker
Reproducible GSEA Benchmarking
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/GSEABenchmarkeR.html
- License
Artistic-2.0
- Recipe
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.
- package bioconductor-gseabenchmarker¶
-
- Versions
1.14.0-0
,1.12.0-0
,1.10.1-0
,1.10.0-0
,1.8.0-0
,1.6.0-1
,1.4.0-1
,1.2.0-0
- Depends
bioconductor-annotationdbi
>=1.56.0,<1.57.0
bioconductor-annotationhub
>=3.2.0,<3.3.0
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biocfilecache
>=2.2.0,<2.3.0
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-edger
>=3.36.0,<3.37.0
bioconductor-enrichmentbrowser
>=2.24.0,<2.25.0
bioconductor-experimenthub
>=2.2.0,<2.3.0
bioconductor-keggandmetacoredzpathwaysgeo
>=1.14.0,<1.15.0
bioconductor-keggdzpathwaysgeo
>=1.32.0,<1.33.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
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-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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-gseabenchmarker/README.html)