Figure 4 | Scientific Reports

Figure 4

From: Pivotal models and biomarkers related to the prognosis of breast cancer based on the immune cell interaction network

Figure 4

WGCNA analysis used to identify modules significantly associated with breast cancer prognosis. (A) Analysis of network topology for various soft-thresholding powers. (B) Module clustering analysis based on eigengenes. (C) Correlation analysis of each module and its traits. (D) Frequency statistical analysis of genes in each module. (F) Functional enrichment analysis of breast cancer prognosis-related modules. E: KEGG Enrichment Analysis of unregulated genes in MEblue module.

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