Hi, all:
A quick question. I know after we extract frima score, I should use
eBayes to do the following:

assume we have design matrix and contrast matrix,
fit<-lmFit(exFirma,design)
fit2<-contrasts.fit(fit,cont.matrix);
fit2<-eBayes(fit2,proportion=p);

the default setting for p is 0.01 that is for gene expression. Is 0.01
also a good guess for this firma score purpose? Or should I use 0.001
or some other values? Thanks!


Sabrina
-- 
When reporting problems on aroma.affymetrix, make sure 1) to run the latest 
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traceback(), and 3) to post a complete code example.


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