recipe bioconductor-flowgraph

Identifying differential cell populations in flow cytometry data accounting for marker frequency

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-flowgraph/meta.yaml

Identifies maximal differential cell populations in flow cytometry data taking into account dependencies between cell populations; flowGraph calculates and plots SpecEnr abundance scores given cell population cell counts.

package bioconductor-flowgraph

Versions:

1.6.0-0,  1.2.0-0,  1.0.0-0

Depends:

• r-base >=4.2,<4.3.0a0

• r-data.table >=1.9.5

• r-effsize

• r-furrr

• r-future

• r-ggiraph

• r-ggplot2

• r-ggrepel

• r-gridextra

• r-htmlwidgets

• r-igraph

• r-matrix

• r-matrixstats

• r-purrr

• r-rdpack

• r-stringi

• r-stringr

• r-visnetwork

Required By:

Installation

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

conda install bioconductor-flowgraph

and update with:

conda update bioconductor-flowgraph

or use the docker container:

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

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

Download stats

Link to this page

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