Author
Justin Y. Lee
Georgia Institute of TechnologyORCID 0009-0000-8579-605XUnclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2021-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 24 mutual co-author links4 papers
Recent·Most cited
- Systems BiologyScientific ReportsPeer-reviewed
Diverse classes of constraints enable broader applicability of a linear programming-based dynamic metabolic modeling framework
Justin Y. Lee, Mark P. Styczynski
The paper introduces three new constraint classes for LK-DFBA to improve metabolic modeling accuracy and shows that a single wild-type dataset can identify optimal constraints for a system.
- BioinformaticsBMC BioinformaticsPeer-reviewed
SCOUR: A stepwise machine learning framework for predicting metabolite-dependent regulatory interactions
Justin Y. Lee, Britney Nguyen, Carlos Orosco, Mark P. Styczynski
SCOUR predicts metabolite-dependent regulatory interactions in metabolic networks using a stepwise machine learning framework, achieving high accuracy in identifying single-metabolite-controlled reactions.
- Systems BiologybioRxivPreprint
Leveraging the mass balances of cellular metabolism to infer absolute concentrations from relative abundance metabolomics data
Justin Y. Lee, Mark P. Styczynski
The paper introduces MetaboPAC, a computational framework that infers absolute metabolite concentrations from relative abundance data using mass balance and kinetic equations, outperforming existing methods under various conditions.
DOI 10.1101/2021.05.13.444095