recipe bioconductor-lpnet

Linear Programming Model for Network Inference

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/lpNet.html

License:

Artistic License 2.0

Recipe:

/bioconductor-lpnet/meta.yaml

Links:

biotools: lpnet, doi: 10.1093/bioinformatics/btv327

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.

package bioconductor-lpnet

(downloads) docker_bioconductor-lpnet

Versions:
2.30.0-02.26.0-02.24.0-02.22.0-12.22.0-02.18.0-02.16.0-12.14.0-02.12.0-0

2.30.0-02.26.0-02.24.0-02.22.0-12.22.0-02.18.0-02.16.0-12.14.0-02.12.0-02.10.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see 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>)

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