Ruoying Yuan

The paper benchmarks toxicity prediction models and introduces a 3D-structure-based deep learning model that improves classification accuracy.

This paper introduces a panproteome graph to enhance peptide and protein identification in proteomics and metaproteomics by leveraging the human pangenome.

This study introduces a novel interpretable k-hop graph attention network to integrate multi-omics data and infer essential targets and signaling networks, showing improved performance over existing models.