recipe bioconductor-mbkmeans

Mini-batch K-means Clustering for Single-Cell RNA-seq

Homepage

https://bioconductor.org/packages/3.11/bioc/html/mbkmeans.html

License

MIT + file LICENSE

Recipe

/bioconductor-mbkmeans/meta.yaml

Implements the mini-batch k-means algorithm for large datasets, including support for on-disk data representation.

package bioconductor-mbkmeans

Versions

1.4.0-0,  1.2.0-0,  1.0.0-1

Depends

• bioconductor-beachmat >=2.4.0,<2.5.0

• bioconductor-biocparallel >=1.22.0,<1.23.0

• bioconductor-delayedarray >=0.14.0,<0.15.0

• bioconductor-rhdf5lib >=1.10.0,<1.11.0

• bioconductor-singlecellexperiment >=1.10.0,<1.11.0

• bioconductor-summarizedexperiment >=1.18.0,<1.19.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=7.3.0

• liblapack >=3.8.0,<3.9.0a0

• libstdcxx-ng >=7.3.0

• r-base >=4.0,<4.1.0a0

• r-benchmarkme

• r-clusterr

• r-matrix

• r-rcpp

• r-rcpparmadillo >=0.7.2

Required By

Installation

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

conda install bioconductor-mbkmeans

and update with:

conda update bioconductor-mbkmeans

or use the docker container:

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

(see bioconductor-mbkmeans/tags for valid values for <tag>)

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-mbkmeans/README.html)