Low-dimensional representations of genome-scale metabolism
Samuel Cain, Charlotte Merzbacher, Diego A. Oyarzún
This paper uses self-supervised learning to create low-dimensional representations of genome-scale metabolic flux data, improving cell type classification and comparison across organisms.
bioRxiv · May 31, 2024 · PreprintSystems Biology