Low-dimensional representations of genome-scale metabolism
Samuel Cain,
Charlotte Merzbacher,
Diego A. Oyarzún
Abstract:Cellular metabolism is a highly interconnected network with thousands of reactions that convert nutrients into the molecular building blocks of life. Metabolic connectivity varies greatly with cellular context and environmental conditions, and it remains a challenge to compare genome-scale metabolism across cell types because of the high dimensionality of the reaction flux space. Here, we employ self-supervised learning and genome-scale metabolic models to compress the flux space into low-dimensional represent… Show more
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