CCNB2, TOP2A, and ASPM Reflect the Prognosis of Hepatocellular Carcinoma, as Determined by Weighted Gene Coexpression Network Analysis

Figure 1

Weighted gene coexpression network analysis of GSE54236. (a) Sample clustering tree to detect outliers. (b) Identification of soft power with a threshold of 0.85. (c) Hierarchical clustering tree of each module. Different colors represent different modules. (d) Correlations of modules and doubling time and survival time. The correlation coefficient varied from -1 (blue) to 1 (red) and was annotated. (e) Correlations between gene-module and gene-survival time. (f) Correlations between gene-module and gene-doubling time.

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