DCpathway: Calculate differential co-expression values (dCs) for each...

Description Usage Arguments Details Value Author(s) Examples

Description

dCs of pathways are defined as average dC of their component genes.

Usage

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DCpathway(DCEA.res = DCEA.res, DisName = "COPD", pathways)

Arguments

DCEA.res

DCEA results for multi-diseases.

DisName

Disease names.

pathways

A data frame or matix for pathways which generated from MSigDB.

Details

We computed the differential co-expression value (dC) of each gene between the disease and the control samples for all disease status via DCEA function. Then we assigned dCs of pathways to be the average dC of their component genes. Therefore a vector of pathways dC for each disease was obtained.

Value

A data frame of dCs for all pathways with

Author(s)

Jing Yang

Examples

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data(exprs1)
data(exprs2)
data(exprs3)

##########################################################################
## the default value of cutoff in DCEA is 0.25, 
## here cutoff is set to 1 for saving time when demonstrating the examples.
DCEA.AA.res<-DCEA(exprs1[1:200,1:5],exprs1[1:200,6:10],link.method="percent",
	cutoff=1,N=0,nbins=20,p=0.1) 
##########################################################################

##########################################################################
## computate dCs of pathways for disease
data(pathways)
DCpathway.AA.res<-DCpathway(DCEA.res=DCEA.AA.res, DisName="AA",pathways)
DCpathway.AA.res[1:3,]
##########################################################################


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