Figure 3 — The integration of multi-omics analysis and machine learning for the identification of prognostic assessment and immunotherapy efficacy through aging-associated genes in lung cancer

Research Paper|Volume 16, Issue 2|pp. 1860–1878

The integration of multi-omics analysis and machine learning for the identification of prognostic assessment and immunotherapy efficacy through aging-associated genes in lung cancer

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Figure 3.The Lasso-Cox algorithm constructs a prognostic risk model. (A) The Venn diagram illustrates the intersection of genes between WGCNA and differential analysis. (B) The PPI (Protein-Protein Interaction) network investigates the interactions between key proteins. (C, D) The Lasso-Cox algorithm constructs a model. (E–H) Kaplan-Meier survival curve analysis of hub gene.