Figure 5. Result of weighted gene correlation network analysis (WGCNA) analysis. (A) The scale independence of WGCNA analysis and determination of parameter β of the adjacency function in the WGCNA algorithm. (B) The mean connectivity of WGCNA analysis. (C) Cluster results and trait heatmap of data samples. (D) Module-immune subtype weight correlations and corresponding P-values (in parenthesis). The left panel shows the four modules and the number of module member genes. (E) The top 20 pathways of genes in the blue module (ranked by FDR ≤ 0.05) in the KEGG database. (F) The top 20 pathways of genes in the turquoise module (ranked by FDR ≤ 0.05) in the KEGG database.