recipe bioconductor-scclassify

scClassify: single-cell Hierarchical Classification

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-scclassify/meta.yaml

scClassify is a multiscale classification framework for single-cell RNA-seq data based on ensemble learning and cell type hierarchies, enabling sample size estimation required for accurate cell type classification and joint classification of cells using multiple references.

package bioconductor-scclassify

Versions:

1.10.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-cepo >=1.4.0,<1.5.0

• bioconductor-hopach >=2.58.0,<2.59.0

• bioconductor-limma >=3.54.0,<3.55.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• r-base >=4.2,<4.3.0a0

• r-cluster

• r-diptest

• r-ggplot2

• r-ggraph

• r-igraph

• r-matrix

• r-mgcv

• r-minpack.lm

• r-mixtools

• r-proxy

• r-proxyc

• r-statmod

Required By:

Installation

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

conda install bioconductor-scclassify

and update with:

conda update bioconductor-scclassify

or use the docker container:

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

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