plot.FactorNetworks: Plot FactorNetworks

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

Description

This function plots an object of class FactorNetworks for each level. The same function as in simone package is used.

Usage

## S3 method for class 'FactorNetworks'
plot(x, interactiveMode = T, ...)

Arguments

x	An object of class FactorNetworks
interactiveMode	Boolean variable indicating whether the plots are in interactive mode. If false, it is useful for automatically saving plots in a single pdf file.
...	Additional parameters from the generic plot function. Not used here.

See Also

FactorNetworks.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,])

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

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

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