Fig. 3 | Scientific Reports

Fig. 3

From: Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma

Fig. 3

Identification of key module genes by WGCNA. The sample dendrogram and trait heatmap (A). β = 5 (R^2 = 0.9) was chosen as the soft-threshold power based on the scale independence and mean connectivity (B). Hierarchical cluster analysis of co-expression clusters with corresponding colour assignments (C). The heatmap of the relationship between module eigengenes and clinical traits (D). Each row corresponds to a specific module, while each column corresponds to a particular trait. Each box contains the corresponding correlation and P-value. Scatter plot between gene significance for basal and module members in blue modules (E).

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