recipe bioconductor-lpnet

lpNet aims at infering biological networks, in particular signaling and gene networks. For that it takes perturbation data, either steady-state or time-series, as input and generates an LP model which allows the inference of signaling networks. For parameter identification either leave-one-out cross-validation or stratified n-fold cross-validation can be used.

Homepage

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

License

Artistic License 2.0

Recipe

/bioconductor-lpnet/meta.yaml

Links

biotools: lpnet, doi: 10.1093/bioinformatics/btv327

package bioconductor-lpnet

(downloads) docker_bioconductor-lpnet

Versions

2.16.0-1, 2.14.0-0, 2.12.0-0, 2.10.0-0

Depends
Required By

Installation

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

conda install bioconductor-lpnet

and update with:

conda update bioconductor-lpnet

or use the docker container:

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

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