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 <lars.kaderali@tu-dresden.de>
LicenseArtistic License 2.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:

Try the lpNet package in your browser

Any scripts or data that you put into this service are public.

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