BN_struct: Construct Bayesian networks structures

In BNrich: Pathway Enrichment Analysis Based on Bayesian Network

Description

Construct BNs structures using unified signaling pathways

Usage

BN_struct(mapkG1)

Arguments

mapkG1

A list contains unified signaling pathways

Value

A list contains Bayesian networks structures

Examples

#All the 187 preprocessed signaling pathways can be entered in analysis by fetch_data_file().
#But here you enter a subset of those pathways to see how this package works.
files <- system.file("extdata", "test_files_to_start.RData", package = "BNrich", mustWork = TRUE)
load(files)
Data <- system.file("extdata", "Test_DATA.RData", package = "BNrich", mustWork = TRUE)
load(Data)
uni_Result <- unify_path(dataH, dataD, MapkG = sub_mapkG, Pathway.id = path.id)
M1 <- uni_Result$mapkG1
BN <- BN_struct(M1)

BNrich documentation built on April 14, 2020, 7:08 p.m.