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.
Netmhcpan-4.1 and netmhciipan-4.0: improved predictions of mhc antigen presentation by concurrent motif deconvolution and integration of ms mhc eluted ligand data
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
pVACtools v6 expands an existing open-source suite with new modules and features for neoantigen prediction and cancer vaccine design.
citing papers explorer
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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.
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pVACtools v6: A comprehensive suite for neoantigen prediction, visualization, and therapy design
pVACtools v6 expands an existing open-source suite with new modules and features for neoantigen prediction and cancer vaccine design.