Add BigMHC paired prediction API - #257
Merged
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
Fixes #254.
Adds a row-wise
BigMHC.predict_pairs(...)API for explicit peptide/allele pairs. Callers can pass parallelpeptides, alleleslists or an iterable of(peptide, allele)rows; results are returned in input order as onePeptideResultper pair.Impact
Paired neoantigen scoring no longer needs one BigMHC instance per allele or an O(N x A) cross product with diagonal filtering. The existing
predict(peptides)cross-product API now reuses the paired path and keeps its previous return shape.Also adds
predict_pairs_dataframe(...)for the row-wise API.Validation
pytest tests/test_bigmhc_pairs.py -q./lint.sh./test.sh(642 passed, 51 skipped, 2 xfailed)Version
Bumped package version from
3.31.1to3.31.2.