data("allData_v2", package="BraDiPluS")
setwd("/Users/eduati/BraDiPluS/fig/")
# compute and plot z-score for all cell line and patient samples
res<-computeStatistics(allData, controlName="FS + FS", thPval=0.1, thSD=1.5, subsample=F, saveFiles=T)
# compute and plot z-score for patient #3
exampleData <- list(patient3=allData$patient3)
res<-computeStatistics(exampleData, controlName="FS + FS", thPval=0.1, thSD=NA, subsample=F, saveFiles=T, showLabels=T)
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