[BioC] gcrma vs. rma

[Stan Smiley]

Sorry if this should have been sent directly to Zhijin Wu, but here goes...

Is there another resource for learning what the gcrma package is all about?
Like the theory/rationale behind it and why/how it is better than rma?

I must be doing something wrong, but my rma expression levels are the same
as what I got from gcrma.

Granted I just ran:

data <- ReadAffy()
eset.rma <- rma(data)
eset.gcrma <- gcrma(data)

But the expression levels generated were identical. I didn't believe it, so
I'm re-running the analysis just to make sure. It's running now, but since
gcrma takes so much longer to run, I thought I'd throw this question out
now.

I've read the "Textual description of gcrma" pdf file, but it's so cursory
I'm still left wondering if I just didn't miss the more detailed explanation
of the package.


Stan Smiley
stan.smiley at genetics.utah.edu