EdgeticDys_both: Get dysregulated edges in cancer

In lyshaerbin/EdgeticDriver: Identification of edgetic driver mutations by integrating gene expression and protein interaction network

Description

Identify the dysregulated edges for each sample

Usage

#Identifying the dysregulated edges in both two conditions
Input.exp=GetExampleData(exampleData="Exp.input")
# view first rows of data
head(Input.exp)
#obtain the sample label
Cancer_s=GetExampleData(exampleData="Cancer_s")
Normal_s=GetExampleData(exampleData="Normal_s")
#obtain the protein interaction network
Network=GetExampleData(exampleData="network")
#identify the dysregulated edges
DysCN=EdgeticDys_CN(Input.exp,Network,thr=0.01)
Input.exp=Input.exp[,Cancer_s]
DysC=EdgeticDys_CN(Input.exp,Network,thr=0.01)
Dys.net=EdgeticDys_both(DysCN,DysC)

Arguments

DysCN	The dysregulated network in cancer vs normal
DysC	The dysregulated network for specific cancer sample

lyshaerbin/EdgeticDriver documentation built on May 27, 2019, 8:45 a.m.