Evaluating the utility of amino acid similarity-aware kmers to represent TCR repertoires for classification
Hannah Kockelbergh, Shelley C. Evans, Liam Brierley, Peter L. Green, Andrea Jorgensen, Elizabeth J. Soilleux, Anna Fowler
The paper evaluates kmer-based representations of TCR repertoires for classification, showing that reduced amino acid alphabets improve performance and interpretability in autoimmune disease classification.
PLoS Computational Biology · Apr 30, 2026Peer-reviewedImmunology