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Holger Schwender
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@holger-schwender-344
Last seen 10.3 years ago
If you are okay with the assumption that all genes follow the same
null disrtibution (and I guess so, as you are using sam), then yes.
In fact, these raw p-values are used to compute the q-values (result
at q.value), i.e. FDR adjusted p-values.
Holger
-------- Original-Nachricht --------
> Datum: Thu, 30 Apr 2009 13:45:25 -0400
> Von: Michal Blazejczyk <michal.blazejczyk at="" mail.mcgill.ca="">
> An: bioconductor at stat.math.ethz.ch
> CC: Holger Schwender <holger.schw at="" gmx.de="">
> Betreff: P-values returned from siggenes\'s sam() function
> Hi everyone,
>
> I have a fairly technical question. We are calling the sam()
function
> from packages siggenes:
> result <- sam( ...... )
> and then getting the p-values like this:
> result at p.value
>
> The Help for function sam() says that these are "raw, unadjusted
p-values
> of the genes".
>
> Does it mean an FDR function such as mt.rawp2adjp() from multtest
can be
> safely used on these values?
>
> Best,
> Michal Blazejczyk
> FlexArray Lead Developer
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