Fig. 9 | Scientific Reports

Fig. 9

From: Atrial fibrillation risk model based on LASSO and SVM algorithms and immune infiltration of key mitochondrial energy metabolism genes

Fig. 9

Differential expression analysis of key genes between AF and normal groups in integrated GEO datasets. (A) Analysis of the main genes between the AF and normal groups in merged GEO datasets. (B) The results of correlation heatmaps for essential genes in integrated GEO datasets. (C) Functional similarity analysis of important genes. (D–H) ROC curve analysis of the crucial genes SLC25A3 (D), OGDH (E), HTT (F), ACAT1 (G), and ALDH1L2 (H) in the integrated GEO datasets. ***P < 0.001 denotes highly statistically significant; *P < 0.05 reflects statistical significance. Diagnostic performance improves as AUC approaches 1. An AUC value greater than 0.9 suggests a high accuracy level, whereas an AUC value between 0.7 and 0.9 suggests a moderate accuracy level. Red represents and signifies the AF and normal groups, respectively. ROC receiver operating characteristic, AUC area under the curve, AF atrial fibrillation.

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