Identification of a Set of Genes Improving Survival Prediction in Kidney Renal Clear Cell Carcinoma through Integrative Reanalysis of Transcriptomic Data

Figure 2

The results of weighted gene coexpression network analysis. (a) Sample clustering was employed to detect outliers. (b) Analysis of network topology for various soft-thresholding powers. The left panel showed that the scale-free fit index (-axis) served as a function of the soft-thresholding power (-axis). The right panel displayed that the mean connectivity (degree, -axis) worked as a function of the soft-thresholding power (-axis). (c) Clustering dendrogram of genes with dissimilarity was based on topological overlap and assigned module colors. (d) Associations between module and trait. Each small square contained the corresponding correlation coefficient and value. (e) Gene coexpression network of the genes in the blue module.

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