MultiDEGeneExpr: Generic function for objects of class MultiDEGeneExpr

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

Description

Generic function for objects of class MultiDEGeneExpr. See other functions for more details.

Usage

MultiDEGeneExpr(x, ...)

Arguments

x	Default parameter for generic functions
...	Additional parameters

See Also

MultiDEGeneExpr.default, print.MultiDEGeneExpr

Examples

# data(SpADataExpression)
# data(SpADEGenes)
# data(SpASamples)
# SpAData<-DEGeneExpr(t(SpADataExpression),SpADEGenes)

# StatusFactor<-paste(SpASamples$status,SpASamples$b27,sep=".")
# names(StatusFactor)=SpASamples$chipnum

# NodesForSIMoNe<-rownames(SpADEGenes)[1:17]
# GaussianSpAData<-DEGeneExpr(t(SpADataExpression[NodesForSIMoNe,]),SpADEGenes[NodesForSIMoNe,])

# MultiSpAData<-MultiDEGeneExpr(GaussianSpAData,DEGeneExpr(t(SpADataExpression[18:34,]),
#	SpADEGenes[18:34,]),DEGeneExpr(t(SpADataExpression[35:51,]),SpADEGenes[35:51,]))
# MultiSpANetworks<-MultiNetworks(MultiSpAData,
#	SelectInteractionsSTRING=c("coexpression","experimental","knowledge"),STRINGThreshold=0.9,
#	FilterSIMoNeOptions=list(Threshold=0.4),Factors=StatusFactor,
#	STRINGOptions=list(AddAnnotations=FALSE),SIMoNeOptions=list(AddAnnotations=FALSE),
#	WGCNAOptions=list(AddAnnotations=FALSE))

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