Author

Rachel Ki

University of California, Los Angeles

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Systems Biology· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:metabolomics· 1 Research Focus:software / tool· 1 Research Focus:variant effect prediction· 1

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Glenn NurwonoiD· 1 shared Junyoung O. ParkiD· 1 shared Kartikeya Pande· 1 shared Pin‐Kuang LaiiD· 1 shared Richard C. LawiD· 1 shared Samantha O’KeeffeiD· 1 shared

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Glenn NurwonoORCID

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1 paper

Recent·Most cited

Systems BiologybioRxivPreprintNov 6, 2023

Accurate and rapid determination of metabolic flux by deep learning of isotope patterns

Richard C. Law, Kartikeya Pande, Samantha O’Keeffe…·Junyoung O. Park

This paper introduces ML-Flux, a deep learning framework for accurately and rapidly determining metabolic flux from isotope patterns, outperforming existing methods in speed and accuracy.

1 citation

metabolomicsdeep learning

𝕏 PostBluesky