Author

Samantha O’Keeffe

University of California, Los AngelesORCID 0009-0009-8884-6708Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:software / tool· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Junyoung O. ParkiD· 2 shared Elle McCueiD· 1 shared Glenn NurwonoiD· 1 shared Harin SimiD· 1 shared Kartikeya Pande· 1 shared Pin‐Kuang LaiiD· 1 shared Rachel Ki· 1 shared Richard C. LawiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 18 mutual co-author links

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2 shared papersBiochemistry

Junyoung O. ParkORCID

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2 papers

Recent·Most cited

BiochemistrybioRxivPreprintJun 9, 2025

High energy charge, antioxidant capacity, and amino acid contents are conserved features of T cell metabolism

Samantha O’Keeffe, Harin Sim, Elle McCue, Junyoung O. Park

The paper quantifies T cell metabolomes across subtypes and individuals, revealing conserved features that support immune response readiness.

1 citation

humanmetabolomics

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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

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