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Assessing data size requirements for training generalizable sequence-based TCR specificity models via pan-allelic MHC-I non-self ligandome evaluation

2025-08-08

Abstract excerpt

<title>Abstract</title> <p>Quickly identifying which T cell receptors (TCRs) specifically bind patient-unique neoepitopes is a critical challenge for personalized TCR cell therapy in oncology. Due to enormous diversity of both TCR and neoepitope repertoires, a machine learning predictor of TCR-pMHC specificity for personalized therapy must generalize to TCRs and epitopes not seen in the training data. For the fir...

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Literature Corpus work
6257b5ec-90cf-5316-a12e-2e1ae3e28965
DOI
10.21203/rs.3.rs-6446591/v2
Open publication

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Assessing data size requirements for training generalizable sequence-based TCR specificity models via pan-allelic MHC-I non-self ligandome evaluationDOI 10.21203/rs.3.rs-6446591/v2
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