recipe bioconductor-fcoex

FCBF-based Co-Expression Networks for Single Cells

Homepage

https://bioconductor.org/packages/3.10/bioc/html/fcoex.html

License

GPL-3

Recipe

/bioconductor-fcoex/meta.yaml

The fcoex package implements an easy-to use interface to co-expression analysisbased on the FCBF (Fast Correlation-Based Filter) algorithm. it was implemented especifically to deal with single-cell data. The modules found can be used to redefine cell populations, unrevel novel gene associations and predict gene function by guilt-by-association. The package structure is based on the CEMiTool package.

package bioconductor-fcoex

Versions

1.0.0-0

Depends

• bioconductor-clusterprofiler >=3.14.0,<3.15.0

• bioconductor-fcbf >=1.4.0,<1.5.0

• bioconductor-pathwaypca >=1.2.0,<1.3.0

• bioconductor-singlecellexperiment >=1.8.0,<1.9.0

• r-base >=3.6,<3.7.0a0

• r-data.table

• r-dplyr

• r-ggplot2

• r-ggrepel

• r-igraph

• r-intergraph

• r-network

• r-progress

• r-scales

• r-sna

• r-stringr

Required By

Installation

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

conda install bioconductor-fcoex

and update with:

conda update bioconductor-fcoex

or use the docker container:

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

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

Link to this page

Render an badge with the following MarkDown:

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