unify_path: Simplification networks - applied to unifying nodes

In Samaneh-Bioinformatics/BNrich: Pathway Enrichment Analysis Based on Bayesian Network

Description

Unifying nodes based imported signaling pathways and GE data

Usage

unify_path(dataH, dataD, MapkG, Pathway.id)

Arguments

dataH	A data frame contains (healthy) control objects data
dataD	A data frame contains disease objects data
MapkG	A list contains imported 187 signaling pathways
Pathway.id	A vector contains 187 KEEG pathway IDs

Value

A list contain data_h,data_d,mapkG1 and pathway.id1

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)

Samaneh-Bioinformatics/BNrich documentation built on April 6, 2020, 4:17 a.m.