An interpretable ML model to characterize patient-specific HLA-I antigen presentation
Shaoheng Liang, Xianli Jiang, Yulun Chiu, Haodong Xu, Kun Hee Kim, Gregory A. Lizee, Ken Chen
The paper introduces epiNB, an interpretable machine learning model for predicting patient-specific HLA-I antigen presentation using Mass Spectrometry data, achieving state-of-the-art accuracy with fewer parameters and no hyperparameter tuning.
bioRxiv · Mar 12, 2023 · PreprintBioinformatics