DEGeneExpr.default: Creation of DEGenesExpr object.

In stringgaussnet: PPI and Gaussian Network Construction from Transcriptomic Analysis Results Integrating a Multilevel Factor

Description

This function allows to create an object of class DEGeneExpr from expression data and DE genes analysis results.

Usage

## Default S3 method:
DEGeneExpr(x, y, Identifier = 0, ...)

Arguments

x	A numeric matrix of expression data with samples as rows and genes as columns.
y	Results from DE genes analysis (for example LIMMA). Rows are genes, and columns are gene attributes. This is suggested to have at least fold changes and p-values.
Identifier	Which column identifies genes in DEGenesResults? If equals to 0, row names are picked. Identifiers must be identical to column names in DataExpression.
...	Other parameters from the generic function. Not used here.

Value

An object of class DEGenesExpr, which is a list containing DataExpression and DEGenesResults. This object is the basis for using all other functions in the package stringgaussnet.

See Also

print.DEGeneExpr, DEGeneExpr

Examples

data(SpADataExpression)
data(SpADEGenes)
SpAData<-DEGeneExpr(t(SpADataExpression),SpADEGenes)
print(SpAData)
print(SpAData,10) # Prints only 10 first lines of each matrix.

stringgaussnet documentation built on May 29, 2017, 10:50 a.m.