Establishment of an Immune-Related Gene Signature for Risk Stratification for Patients with Glioma

Figure 2

Weighted gene coexpression network analysis. (a) Identification of the soft threshold power on the basis of the criteria of the scale-free network. The left panel shows the relationship between the scale-free fit index (y-axis) and soft threshold power (x-axis). And the right panel shows the impact of soft threshold power (x-axis) on the mean connectivity (degree, y-axis). (b) Cluster dendrogram of gene coexpressed modules. A gene clustering dendrogram is plotted using the dissimilarity measure (1-TOM). The colored horizontal bars below the clustering dendrogram represent the modules labeled with different colors, where the gray module shows no genes enriched in any module. (c) The heat map of the correlations between module eigengenes and clinical features of glioma. Each column represents a clinical trait (including grade and subtype) and each row represents a module. Each cell contains the corresponding correlation coefficient on the first row and value on the second row. The red and green colors show the positive and negative correlations, respectively. And the darker the color of the cell, the stronger the correlation between modules and clinical traits. (d) Scatter plot of the correlation between gene significance for the glioma grade and module membership in the turquoise module (; ). TOM: topological overlap matrix.

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