lpNet: Linear Programming Model for Network Inference
Version 2.8.0

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
Version2.8.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("lpNet")

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lpNet documentation built on May 31, 2017, 11:29 a.m.