Fig. 3

WGCNA on TAA and normal conditions. a Detection of outliers with sample clustering. All samples are located in the clusters and pass the cutoff thresholds. b, c Soft threshold power analysis implemented to obtain the scale-free fit index of the network topology, with a soft threshold power β of 7. d Hierarchical cluster analysis detection of the coexpression clusters determined by WGCNA. e Heatmap of the topological overlap matrix (TOM) of genes selected for WGCNA. The red color represents a higher overlap. f Diagram of correlation between different modules and disease status. The turquoise module is significantly positively correlated with TAA, and the blue module is significantly negatively correlated with TAA. The red color represents the positive coefficient factor and the blue color indicates the negative coefficient factor