Hi Brian,

If ASAPRatio was run on the dataset and imported to protXML at the
ProteinProphet step then you should be able to see ASAPRatio ratios and
p-values on the ProteinProphet page.  You should then see controls to sort
and filter by p-value.

-David

On Fri, Sep 14, 2012 at 9:48 AM, Brian Hampton <[email protected]> wrote:

> I'm trying to figure out how to select an appropriate significance level,
> e.g. the adjusted ratio p-value, for the protein abundance ratio for a
> particular data set.  In the 2003 Analytical Chem paper describing
> ASAPRatio, it says that "certain p-values can be chosen as significant in
> assessing protein abundance changes." And this is based on how well the
> normal distribution (eq 1 in the paper)  fits the overall data of unchanged
> proteins.
>
> In the paper (http://tools.proteomecenter.org/publications/Li.ASAP.pdf)
> they choose a p-value cutoff of <0.1 as their significance cutoff.  Fig. 5
> shows the distribution of unique peptide ratios and a curve fit to the main
> peak of peptides whose ratios do not change.  And it shows a nice shoulder
> of peptides with increased abundance ratios but I can't figure out how to
> decide on a p-value cutoff for what is a significant abundance ratio for
> the experiment.  How is this done?
>
> Thanks in advance for your input.
>
> Brian Hampton
>
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