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doi: 10.1161/JAHA.120.016887 63 CavalcantiABZampieriFGRosaRGAzevedoLCPVeigaVCAvezumAet al

Machine learning for selecting diagnostic feature genes Three machine learning algorithmsLASSO, random forest (RF), and support vector machine-recursive feature elimination (SVM-RFE)were utilized to further screen the potential feature genes for the diagnosis of PCOS

Bioinformatic analysis STRINGdb ( 9 was used to explore protein-protein interactions and HumanBase ( 10 to examine cartilage-specific regulatory networks of top deregulated genes in datasets of Wnt hyper-activation in human chondrocytes or mouse cartilage previously generated in our research group (geonr: GSE77916 and GSE33656)

et al., Journal of the International Society of Sports Nutrition Legal Status and Disclaimer Both HGH and IGF-1 LR3 occupy a complex legal space

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Using a landmark analysis at 6 weeks, the authors confirmed that irAEs of any grade were an independent predictor of higher overall response rate (ORR), longer OS and more prolonged PFS [45]