Research Paper Volume 16, Issue 5 pp 4759—4777
Network pharmacology and transcriptomic profiling elucidate the therapeutic effects of Ranunculus ternatus Thunb on liver fibrosis via MK3-NF-κB inhibition
Figure 6. Quality control of samples was done to determine RNA quantity and weighted gene co-expression network analysis (WGCNA) was performed using an R package of WGCNA for finding modules of highly correlated genes. (A, B) PCA plot and heat map. The results suggest that CCL4 is clearly distinguished spatially from the other three groups. (C) Gene dendrogram and modules before merging. (D) Optimal soft threshold is 3. (E) Pearson correlation analysis of the combined modules and individual subgroups. The blue module had the highest correlation coefficient with the CCL4 group.