Author

Shane L. Rea

University of WashingtonORCID 0000-0003-3818-4557Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:metabolomics· 1 Organism:yeast· 1

Frequent Co-Authors

Tyler A. U. HilsabeckiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

1 paper

Recent·Most cited

Systems BiologybioRxivPreprintNov 22, 2024

Deep Learning of Cellular Metabolic Flux Distributions Predicts Lifespan

Tyler A. U. Hilsabeck, Shane L. Rea

The paper uses deep learning to predict replicative lifespan in yeast by analyzing metabolic flux distributions and identifies a core network of reactions that explain lifespan variance.

1 citation

yeastmetabolomics

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