BNrich: Pathway Enrichment Analysis Based on Bayesian Network

Maleknia et al. (2020) <doi:10.1101/2020.01.13.905448>. A novel pathway enrichment analysis package based on Bayesian network to investigate the topology features of the pathways. firstly, 187 kyoto encyclopedia of genes and genomes (KEGG) human non-metabolic pathways which their cycles were eliminated by biological approach, enter in analysis as Bayesian network structures. The constructed Bayesian network were optimized by the Least Absolute Shrinkage Selector Operator (lasso) and the parameters were learned based on gene expression data. Finally, the impacted pathways were enriched by Fisher’s Exact Test on significant parameters.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: bnlearn, corpcor, glmnet, graph, stats, utils
Suggests: knitr, rmarkdown
Published: 2020-04-04
DOI: 10.32614/CRAN.package.BNrich
Author: Samaneh Maleknia [aut, cre], Mohsen Namazi [aut], Kaveh Kavousi [ctb], Ali Sharifi-Zarchi [ctb], Vahid Rezaei-Tabar [ctb]
Maintainer: Samaneh Maleknia <maleknias at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: BNrich results


Reference manual: BNrich.pdf
Vignettes: BNrich_vignette


Package source: BNrich_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BNrich_0.1.1.tgz, r-oldrel (arm64): BNrich_0.1.1.tgz, r-release (x86_64): BNrich_0.1.1.tgz, r-oldrel (x86_64): BNrich_0.1.1.tgz
Old sources: BNrich archive


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