CellNOptR
This is the development version of CellNOptR; for the stable release version, see CellNOptR.
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data
Bioconductor version: Development (3.21)
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 "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
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 | 1.53.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (13 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_1.53.0.tar.gz |
Windows Binary (x86_64) | CellNOptR_1.53.0.zip |
macOS Binary (x86_64) | CellNOptR_1.53.0.tgz |
macOS Binary (arm64) | CellNOptR_1.53.0.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 |