Skip to content

FDR filtering #32

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
WinkelsK opened this issue Jul 5, 2022 · 2 comments
Open

FDR filtering #32

WinkelsK opened this issue Jul 5, 2022 · 2 comments

Comments

@WinkelsK
Copy link

WinkelsK commented Jul 5, 2022

Hi all,
I have a question about filtering MSPathFinder results after target/decoy search.
The PrSMs in the *lcTda.tsv-file are propably not filtered for a certain FDR. So I have to do it afterwards.
I am now wondering what value I should use: Whats the difference between QValue and PepQValue?
And if I want a final FDR of 1%, do I just exclude all PrSMs with a higher value than 0.01?
Thanks a lot!
Cheers,
Konrad

@dtabb73
Copy link

dtabb73 commented Jul 5, 2022

Hi, Konrad.
Because I routinely run MSPathFinderT with only target sequences, I filter PrSMs to require e-values below 0.01 (a similar rule exists in TopPIC) and Probability scores above 0.5. It sounds as though you are running your searches on both target and decoy sequences, so you are in better shape for hitting a particular TDA-estimated FDR. Yes, you can probably just retain the QValues below some maximum to achieve that FDR. I believe PepQValue will be differentiated from QValue by the fact that some proteoforms match multiple spectra; if you're computing FDR by estimated erroneous proteoforms rather than PrSMs, you could go that route instead.
Good luck!
Dave

@WinkelsK
Copy link
Author

WinkelsK commented Jul 6, 2022

Hi Dave,
thanks for the insights! Makes totally sense how you describe it :)
I'll test out the QValue and PepQValue as quality control filters and see which one works better!
Thanks again!
Best,
Konrad

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants