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

lpNet

Linear Programming Model for Network Inference

Bioconductor version: 2.13

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>

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	Software
Version	1.2.0
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_1.2.0.tar.gz
Windows Binary	lpNet_1.2.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	lpNet_1.2.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats