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BNrich  

Pathway Enrichment Analysis Based on Bayesian Network
View on CRAN: Click here


Download and install BNrich package within the R console
Install from CRAN:
install.packages("BNrich")

Install from Github:
library("remotes")
install_github("cran/BNrich")

Install by package version:
library("remotes")
install_version("BNrich", "0.1.1")



Attach the package and use:
library("BNrich")
Maintained by
Samaneh Maleknia
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-20
Latest Update: 2020-04-04
Description:
Maleknia et al. (2020) . 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
How to cite:
Samaneh Maleknia (2020). BNrich: Pathway Enrichment Analysis Based on Bayesian Network. R package version 0.1.1, https://cran.r-project.org/web/packages/BNrich. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2020-03-20 10:30)
Other packages that cited BNrich R package
View BNrich citation profile
Other R packages that BNrich depends, imports, suggests or enhances
Complete documentation for BNrich
Functions, R codes and Examples using the BNrich R package
Some associated functions: BN_struct . BNrich . LASSO_BN . esti_par . fetch_data_file . parm_Ttest . unify_path . var_mat . 
Some associated R codes: BNrich.R .  Full BNrich package functions and examples
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