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Currently we generate many sliding windows around a variant and then filter them to only keep those that are within 1% of the max combined_score. In cases where two variants have very similar combined scores we may actually use a peptide for the higher ranked variant with a lower epitope score than a peptide from the next variant. To fix this we should change core_logic.py to first find the max combined score for each variant and then have a variable amount of tolerance in peptide filtering based on the difference between the current variant's score and the next variant's score.
The text was updated successfully, but these errors were encountered:
Currently we generate many sliding windows around a variant and then filter them to only keep those that are within 1% of the max
combined_score
. In cases where two variants have very similar combined scores we may actually use a peptide for the higher ranked variant with a lower epitope score than a peptide from the next variant. To fix this we should changecore_logic.py
to first find the max combined score for each variant and then have a variable amount of tolerance in peptide filtering based on the difference between the current variant's score and the next variant's score.The text was updated successfully, but these errors were encountered: