recipe bioconductor-flowmap

Mapping cell populations in flow cytometry data for cross-sample comparisons using the Friedman-Rafsky Test

Homepage

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

License

GPL (>=2)

Recipe

/bioconductor-flowmap/meta.yaml

Links

biotools: flowmap, doi: 10.1002/cyto.a.22735

flowMap quantifies the similarity of cell populations across multiple flow cytometry samples using a nonparametric multivariate statistical test. The method is able to map cell populations of different size, shape, and proportion across multiple flow cytometry samples. The algorithm can be incorporate in any flow cytometry work flow that requires accurat quantification of similarity between cell populations.

package bioconductor-flowmap

(downloads) docker_bioconductor-flowmap

Versions

1.26.0-01.24.0-01.22.0-11.22.0-01.20.1-01.18.0-01.14.0-0

Depends
Required By

Installation

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

conda install bioconductor-flowmap

and update with:

conda update bioconductor-flowmap

or use the docker container:

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

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