Bioconductor Developer Survey 2026 Now Open!

CBN2Path

CBN2Path: an R/Bioconductor package for the analysis of cancer progression pathways using Conjunctive Bayesian Networks

Bioconductor version: 3.24 · Package version: 1.3.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

CBN2Path package provides a unifying interface to facilitate CBN-based quantification, analysis and visualization of cancer progression pathways.

DOI: 10.18129/B9.bioc.CBN2Path

Installation

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

BiocManager::install("CBN2Path")

Details

MaintainerWilliam Choi-Kim <william@williamck.com>, Sayed-Rzgar Hosseini <razgar@gmail.com>
AuthorWilliam Choi-Kim [aut, cre], Sayed-Rzgar Hosseini [aut, cre]
LicenseMIT + file LICENSE
URLhttps://github.com/rockwillck/CBN2Path, http://dx.doi.org/10.1093/biomet/asp023, http://dx.doi.org/10.1093/bioinformatics/btp505
Bug Reportshttps://github.com/rockwillck/CBN2Path/issues
System RequirementsGNU Scientific Library (GSL)
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsBayesian, GraphAndNetwork, Pathways, Software, StatisticalMethod
Package Short Url https://bioconductor.org/packages/CBN2Path/

Citation

From within R, enter citation("CBN2Path"):

William Choi-Kim, Sayed-Rzgar Hosseini. CBN2Path: CBN2Path: an R/Bioconductor package for the analysis of cancer progression pathways using Conjunctive Bayesian Networks. doi:10.18129/B9.bioc.CBN2Path, R package version 1.3.0, https://bioconductor.org/packages/CBN2Path.

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 packageCBN2Path_1.3.0.tar.gz
macOS binary (arm64)CBN2Path_1.3.0.tgz
macOS binary (x86_64)CBN2Path_1.3.0.tgz
Dependencies

Depends: R (>= 4.1.0)

Imports: R6, ggraph, tidygraph, ggplot2, patchwork, cowplot, magrittr, igraph, rlang, grDevices, coda, graphics, stats, TCGAbiolinks, BiocParallel

Suggests: testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown