EdgeticDys_CN: Identify the dysregulated network edges

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 between cancer and normal samples
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)

Arguments

Input.exp	The gene expression matrix
Network	The protein interaction network
thr	The significant level for grubbs's test

Value

All.sam.dys The dyregulated edges for each sample

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