To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("lpNet")

In most cases, you don't need to download the package archive at all.

lpNet

Linear Programming Model for Network Inference

Bioconductor version: Release (3.0)

lpNet takes perturbation data 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, Johanna Mazur, Lars Kaderali

Maintainer: Bettina Knapp <bettina.knapp at tu-dresden.de>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("lpNet")

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 Network, Software
Version 1.6.0
In Bioconductor since BioC 2.12 (R-3.0)
License Artistic License 2.0
Depends lpSolve, nem
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source lpNet_1.6.0.tar.gz
Windows Binary lpNet_1.6.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) lpNet_1.6.0.tgz
Mac OS X 10.9 (Mavericks) lpNet_1.6.0.tgz
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