DOI: 10.18129/B9.bioc.lpNet    

This is the development version of lpNet; for the stable release version, see lpNet.

Linear Programming Model for Network Inference

Bioconductor version: Development (3.9)

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.

Author: Bettina Knapp, Marta R. A. Matos, Johanna Mazur, Lars Kaderali

Maintainer: Lars Kaderali <lars.kaderali at tu-dresden.de>

Citation (from within R, enter citation("lpNet")):


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("lpNet", version = "3.9")

For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:



PDF R Script lpNet, network inference with a linear optimization program.
PDF   Reference Manual
Text   NEWS


biocViews NetworkInference, Software
Version 2.15.0
In Bioconductor since BioC 2.12 (R-3.0) (6 years)
License Artistic License 2.0
Depends lpSolve, nem
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

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Follow Installation instructions to use this package in your R session.

Source Package lpNet_2.15.0.tar.gz
Windows Binary lpNet_2.15.0.zip
Mac OS X 10.11 (El Capitan) lpNet_2.15.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/lpNet
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/lpNet
Package Short Url http://bioconductor.org/packages/lpNet/
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