Figure 5.

Coexpression network analysis by WGCNA. WGCNA of Dataset A was used to visualize the WGCNA results, and other WGCNA results are shown in Figure S2. (A) Network topology for various soft-threshold powers and the testing of the properties of the scale-free network were analyzed. (B) LUAD-specific coexpression modules were analyzed, and 20 modules were identified. Each short vertical line corresponds to one gene. Each branch represents one expression module of highly interconnected groups of genes. Below the dendrogram, each group of genes has been given one color, which indicates its module assignment. Gray suggests that the genes were outside all modules. (C) The associations between modules and LUAD were analyzed, which showed that the brown module was identified as having the most significant association with LUAD (P=6e-50). (D) The associations between brown module membership and LUAD were analyzed, which showed that the genes in the module and LUAD had a stronger association (P<1e-200). (E) The mean significance across modules was analyzed, which showed that the brown module with the highest mean significance and a lower variation was the module with the most significant association with LUAD. WGCNA, weighted gene coexpression network analysis; LUAD, lung adenocarcinoma.