To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("lpNet")

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

lpNet

   

This package is for version 2.12 of Bioconductor; for the stable, up-to-date release version, see lpNet.

Linear Programming Model for Network Inference

Bioconductor version: 2.12

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:

## try http:// if https:// URLs are not supported
source("https://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 Software
Version 1.0.0
In Bioconductor since BioC 2.12 (R-3.0) (3 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_1.0.0.tar.gz
Windows Binary lpNet_1.0.0.zip
Mac OS X 10.6 (Snow Leopard) lpNet_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/lpNet/tree/release-2.12
Package Short Url http://bioconductor.org/packages/lpNet/
Package Downloads Report Download Stats

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