recipe bioconductor-npgsea

Current gene set enrichment methods rely upon permutations for inference. These approaches are computationally expensive and have minimum achievable p-values based on the number of permutations, not on the actual observed statistics. We have derived three parametric approximations to the permutation distributions of two gene set enrichment test statistics. We are able to reduce the computational burden and granularity issues of permutation testing with our method, which is implemented in this package. npGSEA calculates gene set enrichment statistics and p-values without the computational cost of permutations. It is applicable in settings where one or many gene sets are of interest. There are also built-in plotting functions to help users visualize results.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/npGSEA.html

License

Artistic-2.0

Recipe

/bioconductor-npgsea/meta.yaml

Links

biotools: npgsea

package bioconductor-npgsea

Versions

1.20.0-1, 1.18.0-0, 1.16.0-0, 1.14.0-0, 1.12.0-0

Depends

• bioconductor-biobase >=2.44.0,<2.45.0

• bioconductor-biocgenerics >=0.30.0,<0.31.0

• bioconductor-gseabase >=1.46.0,<1.47.0

• r-base >=3.6,<3.7.0a0

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-npgsea

and update with:

conda update bioconductor-npgsea

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-npgsea:<tag>

(see bioconductor-npgsea/tags for valid values for <tag>)

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-npgsea/README.html)