lpNet

DOI: 10.18129/B9.bioc.lpNet  

Linear Programming Model for Network Inference

Bioconductor version: Release (3.16)

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 uni-greifswald.de>

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

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("lpNet")

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

Documentation

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

browseVignettes("lpNet")

 

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

Details

biocViews NetworkInference, Software
Version 2.30.0
In Bioconductor since BioC 2.12 (R-3.0) (10 years)
License Artistic License 2.0
Depends lpSolve
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package lpNet_2.30.0.tar.gz
Windows Binary lpNet_2.30.0.zip
macOS Binary (x86_64) lpNet_2.30.0.tgz
macOS Binary (arm64) lpNet_2.30.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/lpNet
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/lpNet
Bioc Package Browser https://code.bioconductor.org/browse/lpNet/
Package Short Url https://bioconductor.org/packages/lpNet/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: