IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition
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DOI: 10.3389/fimmu.2024.1360281
Abstract: Background Mutation-derived neoantigens are critical targets for tumor rejection in cancer immunotherapy, and better tools for neoepitope identification and prediction are needed to improve neoepitope targeting strategies. Computational tools have enabled the identification of patient-specific… read more here.
Keywords: neoepitope immunogenicity; cell; predict neoepitope; cell recognition ... See more keywords