recipe bioconductor-fcoex

FCBF-based Co-Expression Networks for Single Cells

Homepage

https://bioconductor.org/packages/3.14/bioc/html/fcoex.html

License

GPL-3

Recipe

/bioconductor-fcoex/meta.yaml

The fcoex package implements an easy-to use interface to co-expression analysis based 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 adapted from the CEMiTool package, relying on visualizations and code designed and written by CEMiTool's authors.

package bioconductor-fcoex

Versions

1.8.0-0,  1.6.0-0,  1.4.0-1,  1.4.0-0,  1.2.0-0,  1.0.0-0

Depends

• bioconductor-clusterprofiler >=4.2.0,<4.3.0

• bioconductor-fcbf >=2.2.0,<2.3.0

• bioconductor-pathwaypca >=1.10.0,<1.11.0

• bioconductor-singlecellexperiment >=1.16.0,<1.17.0

• r-base >=4.1,<4.2.0a0

• r-data.table

• r-dplyr

• r-ggplot2

• r-ggrepel

• r-igraph

• r-intergraph

• r-matrix

• 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>)

Download stats

Link to this page

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