recipe r-singlecellnet

SingleCellNet enables the classifcation of single cell RNA-Seq data across species and platforms.

Homepage:

https://github.com/pcahan1/singlecellnet

License:

MIT / MIT

Recipe:

/r-singlecellnet/meta.yaml

Links:

doi: 10.1016/j.cels.2019.06.004

package r-singlecellnet

Versions:

0.4.1-4,  0.4.1-3,  0.4.1-2,  0.4.1-1,  0.4.1-0

Depends:

• r-base >=4.2,<4.3.0a0

• r-cowplot

• r-data.tree

• r-desctools

• r-dplyr

• r-ggplot2

• r-hdf5r

• r-patchwork

• r-pheatmap

• r-randomforest

• r-rcolorbrewer

• r-reshape2

• r-tidyr

• r-umap

• r-viridis

Required By:

• singlecellnet-cli

Installation

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

conda install r-singlecellnet

and update with:

conda update r-singlecellnet

or use the docker container:

docker pull quay.io/biocontainers/r-singlecellnet:<tag>

(see r-singlecellnet/tags for valid values for <tag>)

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