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Among the machine learning methods tested, the eXtreme Gradient Boosting (XGB) algorithm showed the best performance, achieving an accuracy of 92.9%, an area under the receiver operating characteristic curve (AUROC) of 0.835, and an area under the precision-recall curve (AUPRC) of 0.975
These findings have repeatedly framed GHK-Cu's research interest in dermatological and connective-tissue models
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NRF2 can directly activate G6PD, PGD, TKT, and TALDO1 by binding to the well-conserved AREs in their promoters, thereby directing carbon flux towards the PPP [35]
