Xudong Xing

PRSNet-2 predicts complex phenotypes from genotypic data using a hierarchical graph neural network, outperforming baselines and reducing overfitting.

SpaTranslator translates spatial omics data across modalities using a deep generative framework, outperforming baselines in clustering and biological coherence.

Prophet is a transformer-based framework that improves disease diagnosis and prediction using proteomics data from the UK Biobank, achieving high accuracy and identifying new protein-disease associations.