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Description
For a more dynamic prediction of metabolic function, Compass 26 uses a machine learning approach to infer metabolic flux by integrating scRNA-seq data with genome-scale metabolic models
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This approach demonstrated an approximately 20-fold increase in sensitivity to sulfatides in mouse brain slices compared with the conventional matrix, DHB, and successfully highlighted the visualization of sulfatides in mouse brain samples
The trouble with quality filtering based on relative Cramr-Rao lower bounds
The influence of gut microbiota on oxidative stress and the immune system
