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Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states

Biology

Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states

S. Choudhury, B. Narayanan, et al.

Unlocking the secrets of metabolic states in *Escherichia coli* just got easier! Researchers Subham Choudhury, Bharath Narayanan, Michael Moret, Vassily Hatzimanikatis, and Ljubisa Miskovic introduce RENAISSANCE, a groundbreaking machine learning framework that harnesses the power of omics data to accurately characterize metabolic processes. This study offers a powerful new tool for those exploring metabolic variations in health and biotechnology.... show more
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77
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Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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