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RefPlus (version 1.42.0)

rma.para: Fitting a RMA model

Description

Obtain reference quantiles and reference probe effects based on reference set Train, and calculate the gene expression

Usage

rma.para(Train, bg = TRUE, exp = FALSE)

Arguments

Train
An AffyBatch object of the reference set microarrays.
bg
A logical flag. If True(by default), background correct Train using default bg.correct.rma.
exp
A logical flag. If True, calculate the RMA measurements of Train. If False, return 0.

Value

Reference.Quantiles
Reference quantiles derived from Train.
probe.effects
Estimated probe effects derived from Train.
expression
RMA measurements of Train.

References

Chang,K.M., Harbron,C., South,M.C. (2006) An Exploration of Extensions to the RMA Algorithm. Available with the RefPlus package.

See Also

rmaplus,rmaref.predict

Examples

Run this code
if (require(affydata)) {
  ## Use Dilution in affydata package
  data(Dilution)

  ## Background correct, estimate the probe effects, and calculate the 
  ## RMA intensities using rma.para function.
  Ex<-rma.para(Dilution, bg=TRUE,exp=TRUE)

  ## Calculate the rma intensities using rma function.
  Ex0<-exprs(rma(Dilution))

  plot(Ex$express[,1],Ex0[,1])
}

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