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 (3.1)

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: 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 NetworkInference, Software
Version 2.0.0
In Bioconductor since BioC 2.12 (R-3.0) (2.5 years)
License Artistic License 2.0
Depends lpSolve, nem
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source lpNet_2.0.0.tar.gz
Windows Binary lpNet_2.0.0.zip
Mac OS X 10.6 (Snow Leopard) lpNet_2.0.0.tgz
Mac OS X 10.9 (Mavericks) lpNet_2.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/lpNet/tree/release-3.1
Package Short Url http://bioconductor.org/packages/lpNet/
Package Downloads Report Download Stats

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