Package: lpNet
Type: Package
Title: Linear Programming Model for Network Inference
Version: 2.45.0
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
Config/pak/sysreqs: make libxml2-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:37:19 UTC
RemoteUrl: https://github.com/bioc/lpNet
RemoteRef: HEAD
RemoteSha: 410ee519b1e581db347c6e6806c700cd73f13be6
NeedsCompilation: no
Packaged: 2026-07-04 05:48:46 UTC; root