recipe bioconductor-cepo

Cepo for the identification of differentially stable genes

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/Cepo.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-cepo/meta.yaml

Defining the identity of a cell is fundamental to understand the heterogeneity of cells to various environmental signals and perturbations. We present Cepo, a new method to explore cell identities from single-cell RNA-sequencing data using differential stability as a new metric to define cell identity genes. Cepo computes cell-type specific gene statistics pertaining to differential stable gene expression.

package bioconductor-cepo

Versions:

1.4.0-0,  1.0.0-0

Depends:

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-delayedarray >=0.24.0,<0.25.0

• bioconductor-delayedmatrixstats >=1.20.0,<1.21.0

• bioconductor-gseabase >=1.60.0,<1.61.0

• bioconductor-hdf5array >=1.26.0,<1.27.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-singlecellexperiment >=1.20.0,<1.21.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-dplyr

• r-ggplot2

• r-patchwork

• r-reshape2

• r-rlang

Required By:

• bioconductor-scclassify

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-cepo

and update with:

conda update bioconductor-cepo

or use the docker container:

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

(see bioconductor-cepo/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-cepo/README.html)