Package: lpNet 2.37.0

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_2.37.0.tar.gz
lpNet_2.37.0.zip(r-4.5)lpNet_2.37.0.zip(r-4.4)lpNet_2.37.0.zip(r-4.3)
lpNet_2.37.0.tgz(r-4.4-any)lpNet_2.37.0.tgz(r-4.3-any)
lpNet_2.37.0.tar.gz(r-4.5-noble)lpNet_2.37.0.tar.gz(r-4.4-noble)
lpNet_2.37.0.tgz(r-4.4-emscripten)lpNet_2.37.0.tgz(r-4.3-emscripten)
lpNet.pdf |lpNet.html✨
lpNet/json (API)
NEWS

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

Peer review:

Datasets:

    On BioConductor:lpNet-2.37.0(bioc 3.20)lpNet-2.36.0(bioc 3.19)

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

    bioconductor-package

    15 exports 1.08 score 8 dependencies 1 mentions

    Last updated 2 months agofrom:9806e14a16

    Exports:calcActivationcalcPredictionKfoldCVcalcPredictionLOOCVcalcRangeLambdadoILPgenerateTimeSeriesNetStatesgetAdjagetBaselinegetEdgeAnnotgetObsMatgetSampleAdjagetSampleAdjaMADkfoldCVloocvsummarizeRepl

    Dependencies:BiocGenericsbitopsgraphKEGGgraphlpSolveRCurlRgraphvizXML

    lpNet, network inference with a linear optimization program.

    Rendered fromvignette_lpNet.Rnwusingutils::Sweaveon Jun 30 2024.

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