recipe bioconductor-npgsea

Permutation approximation methods for gene set enrichment analysis (non-permutation GSEA)

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/npGSEA.html

License:

Artistic-2.0

Recipe:

/bioconductor-npgsea/meta.yaml

Links:

biotools: 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.

package bioconductor-npgsea

(downloads) docker_bioconductor-npgsea

versions:
1.38.0-0,  1.36.0-0,  1.34.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.26.0-0,  1.24.0-0,  1.22.0-0, 

1.38.0-0,  1.36.0-0,  1.34.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.26.0-0,  1.24.0-0,  1.22.0-0,  1.20.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-biocgenerics:

>=0.48.0,<0.49.0

depends bioconductor-gseabase:

>=1.64.0,<1.65.0

depends r-base:

>=4.3,<4.4.0a0

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-npgsea

and update with::

   mamba update bioconductor-npgsea

To create a new environment, run:

mamba create --name myenvname bioconductor-npgsea

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

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

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

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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