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Surprisingly, given the limited amount of training data, we found that an ensemble of multi-task convolutional neural-network (CNN) models that simultaneously predict potency at both GCGR and GLP-1R provides significantly better performance against GLP-1R, whereas performance differences against GCGR were largely not significant
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Basal glucose levels (0 min) were determined by glucometer readings (AlphaTrak II, Zoetisus) from tail punctures
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