CellNOptR
This is the released version of CellNOptR; for the devel version, see CellNOptR.
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data
Bioconductor version: Release (3.20)
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("CellNOptR")):
      
    Installation
To install this package, start R (version "4.4") 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")| Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data with CellNOptR | HTML | R Script | 
| Reference Manual | ||
| NEWS | Text | 
Details
| biocViews | CellBasedAssays, CellBiology, ImmunoOncology, Network, Pathways, Proteomics, Software, TimeCourse | 
| Version | 1.52.0 | 
| In Bioconductor since | BioC 2.9 (R-2.14) (13.5 years) | 
| License | GPL-3 | 
| Depends | R (>= 4.0.0), RBGL, graph, methods, RCurl, Rgraphviz, XML, ggplot2, rmarkdown | 
| Imports | igraph, stringi, stringr | 
| System Requirements | Graphviz version >= 2.2 | 
| URL | 
See More
| Suggests | data.table, dplyr, tidyr, readr, knitr, RUnit, BiocGenerics | 
| Linking To | |
| Enhances | doParallel, foreach | 
| Depends On Me | CNORdt, CNORfeeder, CNORfuzzy, CNORode | 
| Imports Me | bnem | 
| Suggests Me | MEIGOR | 
| Links To Me | |
| Build Report | Build Report | 
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | CellNOptR_1.52.0.tar.gz | 
| Windows Binary (x86_64) | CellNOptR_1.52.0.zip (64-bit only) | 
| macOS Binary (x86_64) | CellNOptR_1.52.0.tgz | 
| macOS Binary (arm64) | CellNOptR_1.52.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/CellNOptR | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CellNOptR | 
| Bioc Package Browser | https://code.bioconductor.org/browse/CellNOptR/ | 
| Package Short Url | https://bioconductor.org/packages/CellNOptR/ | 
| Package Downloads Report | Download Stats |