Figure 4 | Scientific Reports

Figure 4

From: Identification of diagnostic biomarkers via weighted correlation network analysis in colorectal cancer using a system biology approach

Figure 4Figure 4

Weighted correlation network analysis. (A) Hierarchical clustering of samples to detect the outlier samples. (B) Principal component analysis to detect the outlier samples. (C) Scale independence (left) and mean connectivity (right). (D) Using a hierarchical clustering of genes based on the 1-TOM matrix, the co-expression network modules Cluster dendrogram is arranged in a certain order. Various modules are represented by various colors. (E) Hierarchical clustering of modules (above) and heatmap of trait and modules (below). (F) Module-trait relationships. Each column is a clinical feature (CRC and normal), and each row denotes a color module. The correlation coefficient is displayed in each cell. (G) intersection of GS and MM.

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