recipe bioconductor-flowmeans

Non-parametric Flow Cytometry Data Gating

Homepage

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

License

Artistic-2.0

Recipe

/bioconductor-flowmeans/meta.yaml

Identifies cell populations in Flow Cytometry data using non-parametric clustering and segmented-regression-based change point detection. Note: R 2.11.0 or newer is required.

package bioconductor-flowmeans

Versions

1.54.0-0,  1.52.0-0,  1.50.0-1,  1.50.0-0,  1.48.0-0,  1.46.0-0,  1.44.0-1,  1.42.1-0

Depends

• bioconductor-biobase >=2.54.0,<2.55.0

• bioconductor-flowcore >=2.6.0,<2.7.0

• r-base >=4.1,<4.2.0a0

• r-feature

• r-rrcov

Required By

• bioconductor-optimalflow

• bioconductor-confess

Installation

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

conda install bioconductor-flowmeans

and update with:

conda update bioconductor-flowmeans

or use the docker container:

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

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