print.FactorNetworks: Print function for object of class FactorNetworks

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

Description

This function displays specifically object of class FactorNetworks, with previews of edge and node attributes for each level. This displays also a summary of level occurences.

Usage

## S3 method for class 'FactorNetworks'
print(x, nlimit = 2, ...)

Arguments

x	Object of class FactorNetworks
nlimit	Which number of lines to preview for data frames
...	Additional parameters from generic print function

See Also

FactorNetworks, FactorNetworks.default, FilterEdges.FactorNetworks

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,])

# GlobalSIMoNeNetNF<-getSIMoNeNet(GaussianSpAData)
# GlobalSIMoNeNet<-FilterEdges(GlobalSIMoNeNetNF,0.4)

# StatusFactorSIMoNeNet<-FactorNetworks(GaussianSpAData,StatusFactor,"SIMoNe")
# StatusFactorSIMoNeNet<-FilterEdges(StatusFactorSIMoNeNet,0.4)

# resetCytoscapeSession()
# addNetworkStyle("SIMoNeNet",class(GlobalSIMoNeNet),points.size.map="P.Value",
#	points.fill.map="logFC")
# addFactorGraphsToCytoscape(StatusFactorSIMoNeNet)

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