Package: lpNet
Type: Package
Title: Linear Programming Model for Network Inference
Version: 2.44.0
Date: 2020-10199
Author: Bettina Knapp, Marta R. A. Matos, Johanna Mazur, Lars Kaderali
Maintainer: Lars Kaderali <lars.kaderali@uni-greifswald.de>
Depends: lpSolve, KEGGgraph
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
git_url: https://git.bioconductor.org/packages/lpNet
git_branch: RELEASE_3_23
git_last_commit: 2f71281
git_last_commit_date: 2026-04-28
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28
NeedsCompilation: no
Packaged: 2026-04-28 22:57:39 UTC; biocbuild
Built: R 4.6.0; ; 2026-04-29 21:50:25 UTC; unix
