Article

Unsupervised identification of low-frequency antigen-specific TCRs using distance-based anomaly scoring

2026-03-11

Abstract excerpt

Identifying antigen-specific T cell receptors (TCRs) within the diverse human repertoire remains challenging due to their extremely low frequencies, often as rare as one per million cells. Here, we propose a novel unsupervised approach that detects low-frequency antigen-specific TCRs through distance-based anomaly detection in TCR sequence space. Our method is based on the observation that antigen-specific TCRs pr...

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Identifiers and source

Literature Corpus work: 749872ce-520e-5339-8231-33614fabd63e
DOI: 10.64898/2026.03.09.709174

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