Identification of a Signature for Predicting Prognosis and Immunotherapy Response in Patients with Glioma

Figure 2

Sample dendrogram and soft-thresholding value estimation. (a) Sample dendrogram and trait heat map. (b) Scale independence and mean connectivity of various soft-thresholding values (β). (c) The cluster dendrogram of all filtered genes in the top 25% of variance clustered according to a dissimilarity measure (1-TOM) by WGCNA, which presents 11 gene coexpression modules in GSE2223, which contained 50 glioma and four normal samples. Each branch represents one gene, and every color represents one coexpressed module. WGCNA: weighted gene coexpression network analysis. TOM, topological overlap matrix. (d) Clustering of module eigengenes in GSE2223 by WGCNA. (e) Heat map of the correlations between the clinical traits and MEs of glioma. The rectangles in each row and column represent a module eigengene. In the correlated heat map plot, light blue represents low adjacency, while red represents high adjacency. values are shown. The yellow and brown module showed significant correlation with glioma.

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