ImmunoMTL: A Multi-Task Learning Framework for Immunogenicity Prediction
Published: 26 June 2025| Version 1 | DOI: 10.17632/m888gxyk5r.1
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Description
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.
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Institutions
- National Chiao Tung University
- University of Pittsburgh
Categories
Immunology, Bioinformatics, Immunogenicity, Epitope, Major Histocompatibility Complex