Yaxia Yuan

The paper develops a Bayesian gene interaction network to identify 13 genes for PD classification, achieving high AUC in a blood-based transcriptomic analysis of the PPMI cohort.

This paper develops an AI-driven drug discovery framework for NALCN channelopathy, identifying aprepitant as a lead therapeutic candidate through HTS, structural modeling, and experimental validation.

This study identifies TMEM127 as a critical regulator of the MHC-I degradation complex by modulating WWP2 activity, offering a target for enhancing antigen presentation in cancer immunology.

DyScore improves protein-ligand binding prediction by incorporating dynamic features into a boosting model, achieving better performance than existing methods.