A dual-encoder TCR-pMHC model with temperature scaling and conformal abstention achieves AUROC 0.813, ECE 0.043, and reduces error from 18.7% to 10.9% at 80% coverage under epitope-held-out evaluation.
Edlm6apred: ensemble deep learning approach for mrna m6a site prediction
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Calibrated Abstention for Reliable TCR--pMHC Binding Prediction under Epitope Shift
A dual-encoder TCR-pMHC model with temperature scaling and conformal abstention achieves AUROC 0.813, ECE 0.043, and reduces error from 18.7% to 10.9% at 80% coverage under epitope-held-out evaluation.