Bioconductor-mirror/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
Version2.9.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/lpNet")
Bioconductor-mirror/lpNet documentation built on June 1, 2017, 11:41 a.m.