On the prediction of arginine glycation using artificial neural networks
U. Que-Salinas, D. Martinez-Peon, A. D. Reyes-Figueroa, I. Ibarra, C. Q. Scheckhuber
This paper predicts arginine glycation using an artificial neural network, achieving 75% accuracy in estimating glycation probabilities without binary classification.
bioRxiv · Jun 5, 2022Biochemistry