recipe bioconductor-lionessr

Modeling networks for individual samples using LIONESS

Homepage

https://bioconductor.org/packages/3.11/bioc/html/lionessR.html

License

MIT + file LICENSE

Recipe

/bioconductor-lionessr/meta.yaml

LIONESS, or Linear Interpolation to Obtain Network Estimates for Single Samples, can be used to reconstruct single-sample networks (https://arxiv.org/abs/1505.06440). This code implements the LIONESS equation in the lioness function in R to reconstruct single-sample networks. The default network reconstruction method we use is based on Pearson correlation. However, lionessR can run on any network reconstruction algorithms that returns a complete, weighted adjacency matrix. lionessR works for both unipartite and bipartite networks.

package bioconductor-lionessr

(downloads) docker_bioconductor-lionessr

Versions

1.2.0-01.0.0-0

Depends
Required By

Installation

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

conda install bioconductor-lionessr

and update with:

conda update bioconductor-lionessr

or use the docker container:

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

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