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 Fisherâs 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 gmail.com> BugReports: https://github.com/Samaneh-Bioinformatics/BNrich/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/Samaneh-Bioinformatics/BNrich NeedsCompilation: no CRAN checks: BNrich results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BNrich to link to this page.
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