Research Paper Volume 15, Issue 20 pp 11672—11689
Identification of key circadian rhythm genes in skin aging based on bioinformatics and machine learning
Figure 2. Weighted gene co-expression network analysis (WGCNA) of DEGs in GSE85358 dataset. (A) Scale independence as a function of soft threshold power. (B) Mean connectivity as a function of soft threshold power. (C) Cluster dendrogram. Each color represents a specific co-expression module. (D) Heat map plot showing the connectivity of module eigengenes (MEs). (E) Heat map of the correlation between MEs and clinical traits (Skin aging).