|Title||»||Add summary statistics for q values|
|Assigned To||»||Brendan MacLean|
Now that Detection Q Value has been added as a full-fledged transition group peak statistic exposed in PrecursorResults in the Document View and Reports, it should also be given support in PrecursorResultsSummary. I think the likely most useful summaries are:
This gives the user the ability to test for any detection at all Min < 0.01, detection in all samples Max < 0.01 or detection in at least half the samples Median 0.01.
We probably also want to add something like:
for a global q value for the peptides calculated from taking the best score for each peptide and performing a completely separate p value to q value calculation based on the decoy distribution of these scores, but if that isn't easily implemented with the rest of this, it can be kicked to a separate issue.