Author

Britney Nguyen

Georgia Institute of Technology

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1

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Carlos OroscoiD· 1 shared Justin Y. LeeiD· 1 shared Mark P. StyczynskiiD· 1 shared

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Carlos OroscoORCID

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Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedJul 8, 2021

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.

5 citations

metabolomicsmachine learning (classical)

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