DCGL (version 1.02)

DCGL-package: Differential Coexpression Analysis of Microarray Data

Description

Functions for basic differential coexpression analyses: gene filtering, link filtering, DCG (Differentially-Coexpressed Gene) identification and DCL (Differentially-Coexpressed Links) identification. Five algorithms,named DCp, DCe, ASC, LRC and WGCNA, are provided for DCG-identification and DCL-identification.

Details

ll{ Package: DCGL Type: Package Version: 1.02 Date: 2010-12-08 License: GPL (>2) LazyLoad: yes }

References

Friedrich Leisch,2008 Creating R Packages: A Tutorial

Examples

data(dataC)
exprs.1=dataC[1:100,1:10]
exprs.2=dataC[1:100,11:20]
DCp(exprs.1,exprs.2,method='qth',cutoff=0.25,N=0)
DCe(exprs.1,exprs.2,method='qth',cutoff=0.25,nbins=20,p=0.1)
ASC(exprs.1,exprs.2,method='qth',cutoff=0.25)
LRC(exprs.1,exprs.2,method='qth',cutoff=0.25)
WGCNA(exprs.1,exprs.2,power=12,variant='WGCNA')