Na Le Dang

According to our database, Na Le Dang authored at least 6 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

'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

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

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

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

2019

Deep learning long-range information in undirected graphs with wave networks.

Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass

Proceedings of the International Joint Conference on Neural Networks, 2019

2016

A simple model predicts UGT-mediated metabolism.

Na Le Dang, Tyler B. Hughes, Varun Krishnamurthy, S. Joshua Swamidass

Bioinform., 2016