Package: lpNet 2.45.0

Lars Kaderali

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.

Authors:Bettina Knapp, Marta R. A. Matos, Johanna Mazur, Lars Kaderali

lpNet_2.45.0.tar.gz
lpNet_2.45.0.zip(r-4.7)lpNet_2.45.0.zip(r-4.6)lpNet_2.45.0.zip(r-4.5)
lpNet_2.45.0.tgz(r-4.6-any)lpNet_2.45.0.tgz(r-4.5-any)
lpNet_2.45.0.tar.gz(r-4.7-any)lpNet_2.45.0.tar.gz(r-4.6-any)
lpNet_2.45.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lpNet/json (API)
NEWS

# Install 'lpNet' in R:
install.packages('lpNet', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

On BioConductor:lpNet-2.45.0(bioc 3.24)lpNet-2.44.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

networkinference

3.30 score 341 downloads 1 mentions 15 exports 9 dependencies

Last updated from:410ee519b1. Checks:1 ERROR, 7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR123
linux-devel-x86_64WARNING245
source / vignettesOK190
linux-release-x86_64WARNING202
macos-release-arm64WARNING115
macos-oldrel-arm64WARNING88
windows-develWARNING103
windows-releaseWARNING76
windows-oldrelWARNING123
wasm-releaseOK85

Exports:calcActivationcalcPredictionKfoldCVcalcPredictionLOOCVcalcRangeLambdadoILPgenerateTimeSeriesNetStatesgetAdjagetBaselinegetEdgeAnnotgetObsMatgetSampleAdjagetSampleAdjaMADkfoldCVloocvsummarizeRepl

Dependencies:BiocGenericsbitopsgenericsgraphKEGGgraphlpSolveRCurlRgraphvizXML

lpNet, network inference with a linear optimization program.

Rendered fromvignette_lpNet.Rnwusingutils::Sweaveon May 30 2026.

Last update: 2015-03-29
Started: 2013-11-01