[BioC] limma and Rank Products: comparison of the number of results
Wolfgang Huber
whuber at embl.de
Wed Feb 17 23:24:41 CET 2010
Juan
did you verify whether your estimates of "FDR" or "Percentage of false prediction", in the way you apply them, are actually accurate, e.g. by independent validation experiments, or by applying your method to biological replicates (where you know that all discoveries are in fact false)?
Best wishes
Wolfgang
Il giorno Feb 17, 2010, alle ore 3:10 PM, Juan Carlos Oliveros ha scritto:
Dear all
When working with comparative experiment based on Affymetrix gene expression arrays I usually apply one of the following combination of methods:
RMA + limma + FDR
or
RMA+ Rank Products
(rank products "Percentage of false prediction" values are supposed to be equivalent to FDR)
Usually we obtain much more differentially expressed genes when using Rank Products than when using limma at the same FDR threshold.
I wonder if in your case is the same. Do you obtain many more results with Rank Products than with limma at the same FDR cutoff?
In a recent experiment we obtained the opposite (more results with limma) and I'd like to know your experience when using both methods regarding the number of results.
best,
Juan Carlos Oliveros, Ph.D.
CNB-CSIC, Madrid, Spain
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Wolfgang Huber
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