Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states
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Generating large omics datasets has become routine for gaining insights into cellular processes, yet deciphering these datasets to determine metabolic states remains challenging. Kinetic models can help integrate omics data by explicitly linking metabolite con... ...
