recipe r-diffcorr

A method for identifying pattern changes between 2 experimental conditions in correlation networks (e.g., gene co-expression networks), which builds on a commonly used association measure, such as Pearson's correlation coefficient. This package includes functions to calculate correlation matrices for high-dimensional dataset and to test differential correlation, which means the changes in the correlation relationship among variables (e.g., genes and metabolites) between 2 experimental conditions.

Homepage

https://CRAN.R-project.org/package=DiffCorr

License

GPL3 / GPL3

Recipe

/r-diffcorr/meta.yaml

package r-diffcorr

(downloads) docker_r-diffcorr

Versions

0.4.1-40.4.1-30.4.1-20.4.1-10.4.1-0

Depends
Required By

Installation

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

conda install r-diffcorr

and update with:

conda update r-diffcorr

or use the docker container:

docker pull quay.io/biocontainers/r-diffcorr:<tag>

(see r-diffcorr/tags for valid values for <tag>)