recipe bioconductor-flowfp

Fingerprinting for Flow Cytometry

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/flowFP.html

License:

Artistic-2.0

Recipe:

/bioconductor-flowfp/meta.yaml

Links:

biotools: flowfp, doi: 10.1155/2009/193947

Fingerprint generation of flow cytometry data, used to facilitate the application of machine learning and datamining tools for flow cytometry.

package bioconductor-flowfp

Versions:

1.55.0-0,  1.52.0-2,  1.52.0-1,  1.52.0-0,  1.50.0-0,  1.48.0-2,  1.48.0-1,  1.48.0-0,  1.46.0-0, 

1.55.0-0,  1.52.0-2,  1.52.0-1,  1.52.0-0,  1.50.0-0,  1.48.0-2,  1.48.0-1,  1.48.0-0,  1.46.0-0,  1.44.0-0,  1.42.0-1,  1.40.0-0,  1.38.0-0,  1.36.0-0,  1.34.0-0,  1.32.0-0

Depends:

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-flowcore >=2.10.0,<2.11.0

• bioconductor-flowviz >=1.62.0,<1.63.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• r-base >=4.2,<4.3.0a0

Required By:

• bioconductor-flowbin

• bioconductor-gatefinder

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-flowfp

and update with:

conda update bioconductor-flowfp

or use the docker container:

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

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

Download stats

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