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 5. WGCNA combined with Lasso algorithm to construct a prognostic model. (A) Clustering of genes using the WGCNA algorithm. (B) Clinical and prognostic analysis of the genes in different modules. (C) Study of associations between genes of the MEturquoise module using the STRING database. (D, E) Selection of valuable genes by Lasso algorithm to construct prognostic models.