Hello all,
I am totally new to R/Bioconductor and have begun processing data from my Affymetrix Mouse Gene 2.0 ST arrays.  I normalized the data like this:

library(pd.mogene.2.0.st)
eset <- rma(affyRaw)

and added gene annotation and I am following the limma user's guide, which recommends removing "probes that appear not be
expressed in any of the experimental conditions."  I have read on previous posts that filtering may not be necessary.  Should I filter, and if so, how?  Using what code?

Thank you!
Julia Sabet

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