lpNet: Linear Programming Model for Network Inference

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.

Package details

AuthorBettina Knapp, Marta R. A. Matos, Johanna Mazur, Lars Kaderali
Bioconductor views NetworkInference
MaintainerLars Kaderali <[email protected]>
LicenseArtistic License 2.0
Package repositoryView on Bioconductor
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lpNet documentation built on Oct. 31, 2019, 2:25 a.m.