recipe bioconductor-cellid

Unbiased Extraction of Single Cell gene signatures using Multiple Correspondence Analysis

Homepage

https://bioconductor.org/packages/3.14/bioc/html/CelliD.html

License

GPL-3 + file LICENSE

Recipe

/bioconductor-cellid/meta.yaml

CelliD is a clustering-free multivariate statistical method for the robust extraction of per-cell gene signatures from single-cell RNA-seq. CelliD allows unbiased cell identity recognition across different donors, tissues-of-origin, model organisms and single-cell omics protocols. The package can also be used to explore functional pathways enrichment in single cell data.

package bioconductor-cellid

Versions

1.2.1-0,  1.2.0-0,  1.0.0-0

Depends

• bioconductor-biocparallel >=1.28.0,<1.29.0

• bioconductor-fgsea >=1.20.0,<1.21.0

• bioconductor-scater >=1.22.0,<1.23.0

• bioconductor-singlecellexperiment >=1.16.0,<1.17.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=10.3.0

• liblapack >=3.8.0,<4.0a0

• libstdcxx-ng >=10.3.0

• r-base >=4.1,<4.2.0a0

• r-data.table

• r-fastmatch

• r-ggplot2

• r-glue

• r-irlba

• r-matrix

• r-matrixstats

• r-pbapply

• r-rcpp

• r-rcpparmadillo

• r-reticulate

• r-rtsne

• r-seurat >=4.0.1

• r-stringr

• r-tictoc

• r-umap

Required By

Installation

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

conda install bioconductor-cellid

and update with:

conda update bioconductor-cellid

or use the docker container:

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

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