[BioC] RMA verse GCRMA
huber at ebi.ac.uk
Fri Mar 4 22:21:59 CET 2005
do you expect that 100% of the genes that are assayed by your chips are
expressed all the time in the system you are investigating? (you never
told us which chips and which plant or animal)
And if not - say if only 50% of genes are expressed, then the data for
the remaining 50% should just be pure noise and there is no reason why
intensities from RMA and GCRMA should be correlated.
I think you have just learned something about your measurement
instrument (and this has little to do with normalization methods).
Fangxin Hong wrote:
> Hi list;
> I met a strange problem regarding the normalization methods,
> For an experiment with 24 arrays (time order), I normalized the data by
> both RMA and GCRMA. Then I tested the correlation between the normalized
> data for each gene. Surprisingly, I found that about 25% genes with
> correlation less than 0.7 between value normalized by RMA and GCRMA, and
> only less than 50% genes have correlation >0.9. I studies the profile of
> some genes, they look quite different under two methods.
> Anybody met this problem before? Which method we should trust? Any
> comments/idea is appreciated. Or is it possible that I did something
> wrong, I couldn't find it myself.
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