Sparse Gene Coexpression Network Analysis Reveals EIF3J-AS1 as a Prognostic Marker for Breast Cancer

Figure 1

Gene modules detected using the weighted correlation network analysis (WGCNA). (a) Scale-free topology index and mean connectivity were used to determine the soft threshold. (b) Clustering dendrogram of genes. The dissimilarity of genes is based on the topological overlap. The genes are assigned to different modules and modules are named using different colors. (c) Number of genes in each module identified from WGCNA. The numbers in the parentheses represent the number of genes in each module. (d) Number of lncRNAs in the modules containing more than 100 genes.

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