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ImmunoMTL: A Multi-Task Learning Framework for Immunogenicity Prediction

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NIAID Data Ecosystem2026-05-02 收录
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https://data.mendeley.com/datasets/m888gxyk5r
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ImmunoMTL is a machine learning framework designed to improve immunogenicity prediction by incorporating MHC-specific preferences. It supports downstream applications such as neoantigen prioritization and immune response modeling. This repository includes: • Training and validation data for MMS clustering • Training and validation data for ImmunoMTL All datasets were obtained from public resources.
创建时间:
2025-06-26
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