inst/testScripts/system/chipTypes/HG-U133_Plus_2/11.doRMA,PLM,withPriors.R

library("aroma.affymetrix")
verbose <- Arguments$getVerbose(-8, timestamp=TRUE)

dataSet <- "GSE9890"
chipType <- "HG-U133_Plus_2"
csR <- AffymetrixCelSet$byName(dataSet, chipType=chipType)


# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# RMA
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
res <- doRMA(csR, drop=FALSE, verbose=verbose)
print(res)

# The estimated chip effects
ces <- res$ces
print(ces)


# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Fit "another" sample based on above PLM priors
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Get PLM priors
plm <- res$plm
pf <- getProbeAffinityFile(plm)
print(pf)

# RMA probe summarization (there are no NAs in this data set) on
# a "new" sample based on its background corrected signals
csN <- res$csN
csT <- csN[1]
print(csT)
listOfPriors <- list(probeAffinities=pf)
plmP <- RmaPlm(csT, tags="*,priors", listOfPriors=listOfPriors)
print(plmP)

# Assert that list of prior (data files) exists
priorList <- getListOfPriors(plmP)
print(priorList)

# Test to read a subset of priors
priors <- readPriorsByUnits(plmP, units=101:105)
str(priors)

# Fit the model (for this single-sample data set)
fit(plmP, verbose=verbose)

# The "new" estimated chip effects
cesP <- getChipEffectSet(plmP)
print(cesP)

# Compare
theta <- extractTheta(ces[1], drop=TRUE)
thetaP <- extractTheta(cesP, drop=TRUE)

# The estimates are not identical, ...
print(all.equal(thetaP, theta))
# ...but correlation is high.
rho <- cor(thetaP, theta)
print(rho)
# Sanity check
stopifnot(rho > 0.995)

toPNG(getFullName(cesP), tags=c(getNames(cesP), class(plmP)[1], "withAndWithoutPriors"), {
  plot(theta, thetaP, xlab="original", ylab="priors", main="RMA chip effect estimates")
  abline(a=0, b=1)
})


###########################################################################
# HISTORY:
# 2012-01-14 [HB]
# o Now sctipt also fits PLM with prior parameters.
# o Now the script is only one sample for the PLM prior part.
# 2009-04-28 [HB]
# o Added to test priors.
###########################################################################

Try the aroma.affymetrix package in your browser

Any scripts or data that you put into this service are public.

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