A simple model predicts UGT-mediated metabolism. - Na Le Dang; Tyler B. Hughes; Varun Krishnamurthy; S. Joshua Swamidass (Bioinform., 2016)

Deep learning long-range information in undirected graphs with wave networks. - Matthew K. Matlock; Arghya Datta; Na Le Dang; Kevin Jiang; S. Joshua Swamidass (IJCNN, 2019)

The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five Colors. - Na Le Dang; Matthew K. Matlock; Tyler B. Hughes; S. Joshua Swamidass (J. Chem. Inf. Model., 2020)

XenoNet: Inference and Likelihood of Intermediate Metabolite Formation. - Noah R. Flynn; Na Le Dang; Michael D. Ward; S. Joshua Swamidass (J. Chem. Inf. Model., 2020)

Metabolic Forest: Predicting the Diverse Structures of Drug Metabolites. - Tyler B. Hughes; Na Le Dang; Ayush Kumar; Noah R. Flynn; S. Joshua Swamidass (J. Chem. Inf. Model., 2020)

'Black Box' to 'Conversational' Machine Learning: Ondansetron Reduces Risk of Hospital-Acquired Venous Thromboembolism. - Arghya Datta; Matthew K. Matlock; Na Le Dang; Thiago C. Moulin; Keith F. Woeltje; Elizabeth L. Yanik; Sanjay Joshua Swamidass (IEEE J. Biomed. Health Informatics, 2021)