Dear all,

 I have some

 4x44k one color agilent arrays to  analyze.
I have loaded the  data by hand, since the red channel is missing, this
according to suggestions that I have found in the mailing list.

RG                 <- read.maimages(targets$File, columns = list(G =
"gMeanSignal",Gb = "gBGUsed", R = "gProcessedSignal", Rb =
"gIsPosAndSignif"),annotation= c("Row", "Col","FeatureNum", "ProbeUID",
"ControlType","ProbeName", "GeneName", "SystematicName")


How do you normalize now?
Seems like when you use normalizationBetweenArrays()  the methods suppose
that you have both channels and use the
intensities from both channels.

Has anyone a suggestion and mayb any reccomendation about which method to
normalize the data ?

Regards

Marco

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