recipe bioconductor-flowsom

Using self-organizing maps for visualization and interpretation of cytometry data

Homepage:

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

License:

GPL (>= 2)

Recipe:

/bioconductor-flowsom/meta.yaml

Links:

biotools: flowsom, doi: 10.1002/cyto.a.22625

FlowSOM offers visualization options for cytometry data, by using Self-Organizing Map clustering and Minimal Spanning Trees.

package bioconductor-flowsom

Versions:

2.6.0-0,  2.2.0-2,  2.2.0-1,  2.2.0-0,  2.0.0-0,  1.22.0-2,  1.22.0-1,  1.22.0-0,  1.20.0-0, 

2.6.0-0,  2.2.0-2,  2.2.0-1,  2.2.0-0,  2.0.0-0,  1.22.0-2,  1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.14.1-0,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-consensusclusterplus >=1.62.0,<1.63.0

• bioconductor-flowcore >=2.10.0,<2.11.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• r-base >=4.2,<4.3.0a0

• r-colorramps

• r-dplyr

• r-ggforce

• r-ggnewscale

• r-ggplot2

• r-ggpubr

• r-igraph

• r-magrittr

• r-rlang

• r-rtsne

• r-tidyr

• r-xml

Required By:

• bioconductor-diffcyt

• bioconductor-metacyto

• ig-flowtools

• bioconductor-catalyst

Installation

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

conda install bioconductor-flowsom

and update with:

conda update bioconductor-flowsom

or use the docker container:

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

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

Download stats

Link to this page

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