Comprehensive Analysis of mRNA Expression Profiles in Head and Neck Cancer by Using Robust Rank Aggregation and Weighted Gene Coexpression Network Analysis

<div>Identification of hub genes in HNSCC by using WGCNA. (a) Clustering dendrograms of genes. (b) Analysis of the scale-free fit index and the mean connectivity for various soft-thresholding powers. (c) Dendrogram of all DEGs clustered based on a dissimilarity measure. (d) Clustering of modules. (e) Heatmap of the correlation between modules and clinical traits. (f) Correlation matrix of each hub genes.</div>

BioMed Research International

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Figure 4: Comprehensive Analysis of mRNA Expression Profiles in Head and Neck Cancer by Using Robust Rank Aggregation and Weighted Gene Coexpression Network Analysis 

Figure 4 | Comprehensive Analysis of mRNA Expression Profiles in Head and Neck Cancer by Using Robust Rank Aggregation and Weighted Gene Coexpression Network Analysis 