inst/testScripts/system/chipTypes/CytoScanHD_Array/21.doASCRMAv2,PSCN.R

library("aroma.affymetrix")
verbose <- Arguments$getVerbose(-50, timestamp=TRUE)


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# Setting up data set
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dataSetName <- "Affymetrix-CytoScanHD"
chipType <- "CytoScanHD_Array"

csR <- AffymetrixCelSet$byName(dataSetName, chipType=chipType)
print(csR)


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# Allele-specific CRMAv2
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dsNList <- doASCRMAv2(csR, verbose=verbose)
print(dsNList)


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# Average TCN signals
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dfR <- getAverageFile(dsNList$total)
thetaR <- extractMatrix(dfR, drop=TRUE)


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# Extract (TCN,BAF) for a single array
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array <- 3
dfList <- lapply(dsNList, FUN=getFile, array)
sampleName <- getFullName(dfList$total)

data <- sapply(dfList, FUN=extractMatrix)
data[,"total"] <- 2 * data[,"total"] / thetaR
str(data)


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# Plot along genome
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ugp <- getAromaUgpFile(dsNList$total)

chr <- 8
chrTag <- sprintf("Chr%02d", chr)

units <- getUnitsOnChromosome(ugp, chr)
x <- ugp[units,2,drop=TRUE]
x <- x/1e6

dataT <- data[units,]
C <- dataT[,"total"]
B <- dataT[,"fracB"]

toPNG(sampleName, tags=c(chrTag, "TCN+BAF"), width=1024, aspectRatio=0.5, {
  par(mar=c(2.2,3,1.2,1))
  subplots(2, ncol=1)
  plot(x, C, pch=".", ylim=c(0,6))
  stext(side=3, pos=0, sampleName)
  stext(side=3, pos=1, chrTag)
  plot(x, B, pch=".", ylim=c(0,1))
})

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aroma.affymetrix documentation built on July 18, 2022, 5:07 p.m.