Fig. 5 | Scientific Reports

Fig. 5

From: Identifying SUMOylation-related genes in liver fibrosis with bioinformatics and experimental models for diagnostic insights

Fig. 5

Machine learning-based key gene selection for diagnostic biomarkers. (A) LASSO regression identified nine significant genes. (B) Random Forest selected the top ten important genes. (C) SVM-RFE identified thirteen significant genes. (D) Venn diagram showing eight core genes shared by all methods. (E) Correlation plot of the eight core genes (red: positive, green: negative). (F) ROC curves for the eight core genes, indicating strong diagnostic potential.

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