CIP training reduces shortcut reliance in TCR-pMHC models by 39.7% on family-held-out tests via invariance to non-anchor edits and sensitivity to anchor disruptions, reaching AUROC 0.831 and CFC 0.724.
Dlptcr: an ensemble deep learning framework for predicting immunogenic peptide recognized by t cell receptor
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Counterfactual Peptide Editing for Causal TCR--pMHC Binding Inference
CIP training reduces shortcut reliance in TCR-pMHC models by 39.7% on family-held-out tests via invariance to non-anchor edits and sensitivity to anchor disruptions, reaching AUROC 0.831 and CFC 0.724.