Fig. 5 | Scientific Reports

Fig. 5

From: Identification of diagnostic markers pyrodeath-related genes in non-alcoholic fatty liver disease based on machine learning and experiment validation

Fig. 5

Establishment and verification of marker genes diagnostic model. (A) Nomogram of marker genes. (B) Calibration curve. (C) The predictive efficiency of the nomogram model was illustrated by DCA. (D) The ROC of the combination of the two key genes for the diagnosis of NAFLD was 0.996 (95% CI 0.976–1.0). (E) The ROC results of each of the two key genes for the diagnosis of NAFLD. The AUC values of TIRAP, and GSDMD were 0.967 and 0.932, respectively. (F) Boxplots of GSE89632 revealed that the two DE-PRGs between the NAFLD and control samples were significantly different. (G) The two-gene model had the ROC result with an AUC value of 0.825 in GSE89632. (H) The AUC value of TIRAP and GSDMD was 0.774 and 0.745, respectively, in GSE89632. Model: A model that combines two key genes (TIRAP and GSDMD) to diagnose NFALD. Note that “all” and “none” are the two reference strategies used to compare the benefits of the forecast model. The “all” reference strategy means treatment in all cases, while the “none” reference strategy means no treatment. The purpose of these two reference strategies is to help evaluate the benefit and clinical utility of the predictive model. NAFLD nonalcoholic fatty liver disease.

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