print.MultiNetworks: Print function for object of class MultiNetworks

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

Description

This function displays specifically object of class MultiNetworks, summarizing the use of the function MultiNetworks.default().

Usage

## S3 method for class 'MultiNetworks'
print(x, ...)

Arguments

x	Object of class MultiNetworks
...	Additional parameters from generic print function

See Also

MultiNetworks, MultiNetworks.default

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))
# print(MultiSpANetworks)

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