Dear all I would like to know exactly how does the RT model in PeptideProphet work? I know that it promote or demotes the probabilities based on how close the retention times of PSMs are to their expected RT.
I want to know exactly how PeptideProphet updates the probabilities according to this new piece of information (RT)? Is the information of the retention time adapted into the discriminant score or is the PeptideProphet probability updated based on a Bayesian probability? If so, how? I have read almost all of the papers related to PeptideProphet but I haven't been able to find a place where the RT model is explained. Thank you very much. Ali -- You received this message because you are subscribed to the Google Groups "spctools-discuss" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/spctools-discuss. For more options, visit https://groups.google.com/d/optout.
