EpicPred: predicting phenotypes driven by epitope-binding TCRs using attention-based multiple instance learning

Abstract excerpt

MOTIVATION: Correctly identifying epitope-binding T-cell receptors (TCRs) is important to both understand their underlying biological mechanism in association to some phenotype and accordingly develop T-cell mediated immunotherapy treatments. Although the importance of the CDR3 region in TCRs for epitope recognition is well recognized, methods for profiling their interactions in association to a certain disease...

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