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
Figure 2. NMF staging and correlation analysis of patients with hepatocellular carcinoma. (A) Patients were classified into two clusters using the NMF algorithm. (B) Prognostic analysis revealed a poorer prognosis for patients with the C1 cluster. (C) Exploration of differential genes between different subtypes by differential analysis. (D, E) GO and KEGG analysis to investigate the underlying mechanisms and pathways.