Package: lpNet
Type: Package
Title: Linear Programming Model for Network Inference
Version: 2.10.0
Date: 2015-07-04
Author: Bettina Knapp, Marta R. A. Matos, Johanna Mazur, Lars Kaderali
Maintainer: Lars Kaderali <lars.kaderali@tu-dresden.de>
Depends: lpSolve, nem
Description: 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.
License: Artistic License 2.0
biocViews: NetworkInference
NeedsCompilation: no
Packaged: 2017-10-31 00:30:58 UTC; biocbuild
Built: R 3.4.2; ; 2017-10-31 05:54:56 UTC; windows
