Leveraging attention-based deep multiple instance and multiple task learning for improved neoepitope identification

Wei Qu

doi:10.1016/j.cels.2025.101404

Leveraging attention-based deep multiple instance and multiple task learning for improved neoepitope identification

2025-10-06

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DOI：10.1016/j.cels.2025.101404

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• New pan-allele MHC class I ligand and neoepitope predictor • Dynamically weights multi-allele interactions to eliminate scoring bias • Used ranking loss to enhance neoepitope prioritization • Outperforms existing methods and open-source code

Leveraging attention-based deep multiple instance and multiple task learning for improved neoepitope identification

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