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Using DIA PSMs identified by DIA search engine to refine MS2 model may result in low-quality MS2 prediction due to low-quality precursor matches;
Using spectral library tsv to refine the MS2 model may also result in low-quality MS2 prediction. It depends on how many low-quality matches are there in spectral library;
The text was updated successfully, but these errors were encountered:
It turns out that this is not “catastrophic forgetting”, this is due to low matching quality of DIA data.
jalew188
changed the title
“catastrophic forgetting” after transfer learning on MS2
Tuning by low quality fragment matches on DIA data resulted in low quality MS2 prediction
Jan 3, 2024
jalew188
changed the title
Tuning by low quality fragment matches on DIA data resulted in low quality MS2 prediction
Tuning MS2 by low-quality fragment matches on all DIA PSMs at apex_rt resulted in low-quality MS2 prediction
Jan 10, 2024
The text was updated successfully, but these errors were encountered: