recipe bioconductor-escape

Easy single cell analysis platform for enrichment

Homepage

https://bioconductor.org/packages/3.13/bioc/html/escape.html

License

Apache License 2.0

Recipe

/bioconductor-escape/meta.yaml

A bridging R package to facilitate gene set enrichment analysis (GSEA) in the context of single-cell RNA sequencing. Using raw count information, Seurat objects, or SingleCellExperiment format, users can perform and visualize GSEA across individual cells.

package bioconductor-escape

Versions

1.2.0-0,  1.0.0-2,  1.0.0-1

Depends

• bioconductor-biocparallel >=1.26.0,<1.27.0

• bioconductor-gseabase >=1.54.0,<1.55.0

• bioconductor-gsva >=1.40.0,<1.41.0

• bioconductor-limma >=3.48.0,<3.49.0

• bioconductor-singlecellexperiment >=1.14.0,<1.15.0

• r-base >=4.1,<4.2.0a0

• r-dplyr

• r-ggplot2

• r-ggridges

• r-matrix

• r-msigdbr

Required By

Installation

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

conda install bioconductor-escape

and update with:

conda update bioconductor-escape

or use the docker container:

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

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

Download stats

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-escape/README.html)