Weighted Gene Correlation Network Analysis Identifies Specific Functional Modules and Genes in Esophageal Cancer

Figure 2

Establishment of a coexpression network and discovery of ESCA-specific coexpression module in the TCGA dataset. (a) Sample cluster analysis. (b) The scale-free network topology (left) as well as mean connectivity (right) under distinct soft threshold power values. (c) Gene dendrogram clustered in accordance with a dissimilarity measure. The upper panel indicates gene tree, and the bottom panel represents gene modules identified by diverse colors. (d) Heatmap visualizes the interaction between coexpression modules and clinical trait-tissue type. The upper number in each cell presents Pearson correlation coefficient between each module and tissue type. Meanwhile, the lower number indicates the value. (e) Scatter plots depict the interaction between module membership and gene significance for normal tissue type for the yellow module. (f) Scatter plots present the interaction between module membership and gene significance for ESCA tumor tissue type for the yellow module.

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