recipe bioconductor-fci

(f-divergence Cutoff Index), is to find DEGs in the transcriptomic & proteomic data, and identify DEGs by computing the difference between the distribution of fold-changes for the control-control and remaining (non-differential) case-control gene expression ratio data. fCI provides several advantages compared to existing methods.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/fCI.html

License

GPL (>= 2)

Recipe

/bioconductor-fci/meta.yaml

package bioconductor-fci

(downloads) docker_bioconductor-fci

Versions

1.14.0-0, 1.12.0-0

Depends
Required By

Installation

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

conda install bioconductor-fci

and update with:

conda update bioconductor-fci

or use the docker container:

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

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