- recipe bioconductor-dcanr
Differential co-expression/association network analysis
This package implements methods and an evaluation framework to infer differential co-expression/association networks. Various methods are implemented and can be evaluated using simulated datasets. Inference of differential co-expression networks can allow identification of networks that are altered between two conditions (e.g., health and disease).
- package bioconductor-dcanr¶
- depends r-base:
- depends r-circlize:
- depends r-dorng:
- depends r-foreach:
- depends r-igraph:
- depends r-matrix:
- depends r-plyr:
- depends r-rcolorbrewer:
- depends r-reshape2:
- depends r-stringr:
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-dcanr and update with:: mamba update bioconductor-dcanr
To create a new environment, run:
mamba create --name myenvname bioconductor-dcanr
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).
Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-dcanr:<tag> (see `bioconductor-dcanr/tags`_ for valid values for ``<tag>``)