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Bioconductor - lpNet

lpNet

This is the released version of lpNet; for the devel version, see lpNet.

Linear Programming Model for Network Inference

Bioconductor version: Release (3.21)

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 "4.5") 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")
lpNet, network inference with a linear optimization program. PDF R Script Reference Manual PDF NEWS Text Details See More Suggests Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives

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

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