DCGL (version 2.1.2)

DCe: Identify DCGs (Differentially Coexpressed Genes) and DCLs (Differentially Coexpressed Links)

Description

The algorithm first determines DCLs using a LFC model originally proposed for differential expression analysis, and then determines DCGs with their surrounding links enriched for DCLs.

Usage

DCe(exprs.1, exprs.2, 
	link.method=c('qth','rth','percent')[1],
	cutoff, 
	r.method, 
	q.method, 
	nbins=20, p=0.1,
	figname=c('LFC.s.jpeg','LFC.d.jpeg'))

Arguments

exprs.1

a data frame or matrix for condition A, with rows as variables (genes) and columns as samples.

exprs.2

a data frame or matrix for condition B, with rows as variables (genes) and columns as samples.

link.method

a character string indicating link filtration method, default is 'qth'.

cutoff

cutoff used for link filtration, can be rth, qth, or percent depending on link.method. must be within [0,1].

r.method

a character string indicating which correlation coefficient (or covariance) is to be computed. One of "pearson" (default) or "spearman", can be abbreviated.

q.method

a character string indicating which correction method to be utilized. the default is 'BH'.

nbins

number of x bins for fitting y=a+(b/x).

p

the cutoff of q-value; must be within [0,1].

figname

names of figures of the LFC fitting results.

Value

A list with two components:

DCGs

Differential Coexpression Genes

DCLs

Differential Coexpression Links

Details

DCe is based on the 'Limit Fold Change' or 'LFC' model, a robust statistical method originally proposed for selecting DEGs from microarray data (Mutch et al. 2002). With the analysis units changed from expression values to coexpression values, the LFC method with moderate adaption can be applied to screen for putative DCLs. DCGs with their surrounding links enriched for DCLs are determined through a binomial probability model.

References

Mutch, D.M., Berger, A., Mansourian, R., Rytz, A. and Roberts, M.A. (2002) The limit fold change model: a practical approach for selecting differentially expressed genes from microarray data, BMC Bioinformatics, 3, 17. Yu H., Liu B-H., et al., Link-specific Quantitative Methods to Identify Differentially Coexpressed Genes and Gene Pairs. Submitted. 2010

Examples

data(exprs)
## Identifying DCGs and DCLs by DCe method
DCe.res<-DCe(exprs[1:100,1:16],exprs[1:100,17:63],
	link.method = 'qth',
	cutoff=0.25,
	nbins=20,p=0.1)
DCe.res$DCGs[1:3,]
DCe.res$DCLs[1:3,]