Figure 6 — The integration of machine learning and multi-omics analysis provides a powerful approach to screen aging-related genes and predict prognosis and immunotherapy efficacy in hepatocellular carcinoma

Research Paper|Volume 15, Issue 14|pp. 6848–6864

The integration of machine learning and multi-omics analysis provides a powerful approach to screen aging-related genes and predict prognosis and immunotherapy efficacy in hepatocellular carcinoma

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Figure 6.Prognostic analysis and model efficacy validation. (A) Prognosis between high and low risk groups was analyzed by KM curves. (B) Risk curves showing the differences between high and low risk groups. (C) ROC curves analyzing the specific efficacy of the model.