ImmunoMTL: A Multi-Task Learning Framework for Immunogenicity Prediction

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.