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Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
Published on: November 10, 2023
Miroslava Cuperlovic-Culf1,2, Thao Nguyen-Tran3,4,5, Steffany A L Bennett3,4,5
1Digital Technologies Research Centre, National Research Council of Canada, Ottawa, ON, Canada. Miroslava.Cuperlovic-Culf@nrc-cnrc.gc.ca.
Machine learning offers a powerful alternative to traditional computational cell metabolism models, which often lack in vivo data. This approach leverages metabolomic and lipidomic data for predictive and descriptive modeling of cellular metabolic processes.
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