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Backround correction for an Agilent Data set

I used limma to read and normalize An Agilent dataset, I did not apply the background correction on it which is:

y <- backgroundCorrect(x,method="normexp")#

Then I found another method which is nec(), neqc ():

y=nec(x, status=NULL, negctrl="negative", regular="regular", offset=16,robust=FALSE, detection.p="Detection")

But I received an error:

Error in normexp.fit.detection.p(x, detection.p) :
  Detection p values not found in the data.

Please any suggestion

r

You are going to need to give us more information, but the error implies that there are not detection p-values in the data.

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