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CellNOptR

This is the released version of CellNOptR; for the devel version, see CellNOptR.

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Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data

DOI: 10.18129/B9.bioc.CellNOptR

Bioconductor version: Release (3.23)

This package does optimisation of boolean logic networks of signalling pathways based on a previous knowledge network and a set of data upon perturbation of the nodes in the network.

Author: Thomas Cokelaer [aut], Federica Eduati [aut], Aidan MacNamara [aut], S Schrier [ctb], Camille Terfve [aut], Enio Gjerga [ctb], Attila Gabor [cre]

Maintainer: Attila Gabor <attila.gabor at uni-heidelberg.de>

Citation (from within R, enter citation("CellNOptR")):

Thomas Cokelaer, Federica Eduati, Aidan MacNamara, Camille Terfve. CellNOptR: Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data. doi:10.18129/B9.bioc.CellNOptR, R package version 1.58.0, https://bioconductor.org/packages/CellNOptR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CellNOptR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CellNOptR")

Details

Package Archives

Follow Installation instructions to use this package in your R session.