recipe bioconductor-clusterexperiment

Compare Clusterings for Single-Cell Sequencing

Homepage

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

License

Artistic-2.0

Recipe

/bioconductor-clusterexperiment/meta.yaml

Provides functionality for running and comparing many different clusterings of single-cell sequencing data or other large mRNA Expression data sets.

package bioconductor-clusterexperiment

Versions

2.14.0-0,  2.12.0-0,  2.10.1-0,  2.10.0-0,  2.8.0-0,  2.6.0-0,  2.4.4-0,  2.2.0-0

Depends

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-biocsingular >=1.10.0,<1.11.0

• bioconductor-delayedarray >=0.20.0,<0.21.0

• bioconductor-edger >=3.36.0,<3.37.0

• bioconductor-hdf5array >=1.22.0,<1.23.0

• bioconductor-limma >=3.50.0,<3.51.0

• bioconductor-mbkmeans >=1.10.0,<1.11.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• bioconductor-singlecellexperiment >=1.16.0,<1.17.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• bioconductor-zinbwave >=1.16.0,<1.17.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=9.4.0

• liblapack >=3.8.0,<4.0a0

• libstdcxx-ng >=9.4.0

• r-ape >=5.0

• r-base >=4.1,<4.2.0a0

• r-cluster

• r-howmany

• r-kernlab

• r-locfdr

• r-matrix

• r-matrixstats

• r-nmf

• r-phylobase

• r-pracma

• r-rcolorbrewer

• r-rcpp

• r-scales

• r-stringr

Required By

• bioconductor-netsmooth

Installation

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

conda install bioconductor-clusterexperiment

and update with:

conda update bioconductor-clusterexperiment

or use the docker container:

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

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