Na Le Dang

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 7

Top Topics

Long Range Correlations

Inference Process

Metabolic Networks

Top Venues

J. Chem. Inf. Model.

IEEE J. Biomed. Health Informatics

Publications

Arghya Datta, Matthew K. Matlock, Na Le Dang, Thiago C. Moulin, Keith F. Woeltje, Elizabeth L. Yanik, Sanjay Joshua Swamidass
'Black Box' to 'Conversational' Machine Learning: Ondansetron Reduces Risk of Hospital-Acquired Venous Thromboembolism. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Na Le Dang, Matthew K. Matlock, Tyler B. Hughes, S. Joshua Swamidass
The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five Colors. J. Chem. Inf. Model. 60 (3) (2020)
Noah R. Flynn, Na Le Dang, Michael D. Ward, S. Joshua Swamidass
XenoNet: Inference and Likelihood of Intermediate Metabolite Formation. J. Chem. Inf. Model. 60 (7) (2020)
Tyler B. Hughes, Na Le Dang, Ayush Kumar, Noah R. Flynn, S. Joshua Swamidass
Metabolic Forest: Predicting the Diverse Structures of Drug Metabolites. J. Chem. Inf. Model. 60 (10) (2020)
Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass
Deep learning long-range information in undirected graphs with wave networks. IJCNN (2019)
Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass
Deep learning long-range information in undirected graphs with wave networks. CoRR (2018)
Na Le Dang, Tyler B. Hughes, Varun Krishnamurthy, S. Joshua Swamidass
A simple model predicts UGT-mediated metabolism. Bioinform. 32 (20) (2016)