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CellNOptR

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

Bioconductor version: 3.23 · Package version: 1.58.0

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.

Installation

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

BiocManager::install("CellNOptR")

Details

MaintainerAttila Gabor <attila.gabor@uni-heidelberg.de>
AuthorThomas Cokelaer [aut], Federica Eduati [aut], Aidan MacNamara [aut], S Schrier [ctb], Camille Terfve [aut], Enio Gjerga [ctb], Attila Gabor [cre]
LicenseGPL-3
System RequirementsGraphviz version >= 2.2
Downloads rank672
Source branchRELEASE_3_23
biocViewsCellBasedAssays, CellBiology, ImmunoOncology, Network, Pathways, Proteomics, Software, TimeCourse

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageCellNOptR_1.58.0.tar.gz
Windows binary (x86_64)CellNOptR_1.58.0.zip
macOS binary (arm64)CellNOptR_1.58.0.tgz
macOS binary (x86_64)CellNOptR_1.58.0.tgz
Dependencies

Depends: R (>= 4.0.0), RBGL, graph, methods, RCurl, Rgraphviz, XML, ggplot2, rmarkdown

Imports: igraph, stringi, stringr

Suggests: data.table, dplyr, tidyr, readr, knitr, RUnit, BiocGenerics

Enhances: doParallel, foreach

Reverse dependencies

Depends On Me (3): CNORdt, CNORfuzzy, CNORode

Imports Me (2): bnem, CNORfeeder

Suggests Me (1): MEIGOR