Package: lpNet
Type: Package
Title: Linear Programming Model for Network Inference
Version: 2.26.0
Date: 2020-10199
Author: Bettina Knapp, Marta R. A. Matos, Johanna Mazur, Lars Kaderali
Maintainer: Lars Kaderali <lars.kaderali@uni-greifswald.de>
Depends: lpSolve
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_14
git_last_commit: a12de94
git_last_commit_date: 2021-10-26
Date/Publication: 2021-10-26
NeedsCompilation: no
Packaged: 2021-10-27 02:18:03 UTC; biocbuild
Built: R 4.1.1; ; 2021-10-27 11:45:44 UTC; windows
