Research Paper Volume 16, Issue 12 pp 10299—10320
Mining key circadian biomarkers for major depressive disorder by integrating bioinformatics and machine learning
Figure 1. Differential expression and WGCNA analysis of DEGs in GSE98793 dataset. (A) Volcano plot of DEGs. (B) Hierarchical clustering of DEGs. (C) Scale independence and Mean connectivity as a function of soft-thresholding powers. (D) Cluster dendrogram. (E) Heatmap based on gene connectivity of modules. (F) Heatmap of clinical-trait associations.