Identification of Four Pathological Stage-Relevant Genes in Association with Progression and Prognosis in Clear Cell Renal Cell Carcinoma by Integrated Bioinformatics Analysis

<div>Weighted gene coexpression analysis for GSE73731. (a) Analysis of the scale-free fit index and mean connectivity for various soft-thresholding powers. (b) The clustering dendrogram based on the dissimilarity (1-TOM) using the dynamic tree cut method. (c) Module preservation test with an independent dataset, GSE53757. (d) Module-trait relationship heat map based on the Pearson correlation coefficient between module eigengenes and clinical parameters (age, grade, and stage). (e) Barplot for average gene significance across modules associated with the pathological stage for ccRCC.</div>

BioMed Research International

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Figure 3: Identification of Four Pathological Stage-Relevant Genes in Association with Progression and Prognosis in Clear Cell Renal Cell Carcinoma by Integrated Bioinformatics Analysis 

Figure 3 | Identification of Four Pathological Stage-Relevant Genes in Association with Progression and Prognosis in Clear Cell Renal Cell Carcinoma by Integrated Bioinformatics Analysis 