CellNOptR
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data
Bioconductor version: 3.24 · Package version: 1.59.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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
| Maintainer | Attila Gabor <attila.gabor@uni-heidelberg.de> |
| Author | Thomas Cokelaer [aut], Federica Eduati [aut], Aidan MacNamara [aut], S Schrier [ctb], Camille Terfve [aut], Enio Gjerga [ctb], Attila Gabor [cre] |
| License | GPL-3 |
| System Requirements | Graphviz version >= 2.2 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | CellBasedAssays, CellBiology, ImmunoOncology, Network, Pathways, Proteomics, Software, TimeCourse |
| Package Short Url | https://bioconductor.org/packages/CellNOptR/ |
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 1.59.0, https://bioconductor.org/packages/CellNOptR.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | CellNOptR_1.59.0.tar.gz |
| Windows binary (x86_64) | CellNOptR_1.59.0.zip |
| macOS binary (arm64) | CellNOptR_1.59.0.tgz |
| macOS binary (x86_64) | CellNOptR_1.59.0.tgz |