Fig. 2
WGCNA applied to 8190 differentially expressed genes. a Hierarchical clustering of co-expression data. b Table of module–trait relationships. Resting frequency and forearm length are shown on the X-axis. The value at the top of each square represents the correlation coefficient between the module eigengene and the trait with the correlation P-value in parentheses. The left panel shows 12 modules and the number of their genes. The right panel is a color scale for module trait correlation from − 1 to 1. c Heatmap summary and hierarchical clustering of genes in M1. The hierarchical clustering was generated using Spearman’s correlation coefficients of log2-transformed reads per kilobase per million mapped reads of expression values. Rows are standardized; red indicates high values and green indicates low values. d Scatterplot of the intramodular analysis (module membership versus gene significance) of genes found in M1, M3, M4, M5, and M6