recipe bioconductor-flowclust

Clustering for Flow Cytometry

Homepage

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

License

Artistic-2.0

Recipe

/bioconductor-flowclust/meta.yaml

Robust model-based clustering using a t-mixture model with Box-Cox transformation. Note: users should have GSL installed. Windows users: ‘consult the README file available in the inst directory of the source distribution for necessary configuration instructions’.

package bioconductor-flowclust

Versions

3.26.0-0, 3.24.0-0, 3.22.0-1, 3.20.0-0

Depends

• bioconductor-biobase >=2.48.0,<2.49.0

• bioconductor-biocgenerics >=0.34.0,<0.35.0

• bioconductor-flowcore >=2.0.0,<2.1.0

• bioconductor-flowviz >=1.52.0,<1.53.0

• bioconductor-graph >=1.66.0,<1.67.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=7.5.0

• liblapack >=3.8.0,<3.9.0a0

• r-base >=4.0,<4.1.0a0

• r-clue

• r-corpcor

• r-ellipse

• r-mnormt

Required By

• bioconductor-flowtype

• bioconductor-flowmerge

• bioconductor-confess

• bioconductor-flowtrans

• bioconductor-opencyto

Installation

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

conda install bioconductor-flowclust

and update with:

conda update bioconductor-flowclust

or use the docker container:

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

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