Figure 5.

WGCNA selection module and selection of differential co-expressed genes. (A) Outliers were detected in the sample cluster. (B) The cut-off point was set as 0.9, and the soft threshold power was set as β=17. (C) Tree diagram of all DEGs based on the cluster of difference measurement. The colored bands show the results from the automated monolithic analysis. (D) Correlation diagram between modules obtained by clustering according to inter-gene expression levels. (E) Heat map of the correlation between module characteristic genes and phenotypes. We chose the MEblue module for subsequent analysis (the ordinate value is the correlation coefficient of feature module). (F) Module importance analysis. The horizontal coordinate represents the module gene classification, and the vertical coordinate represents the module gene importance score; the higher the score, the most important module in this clustering. (G) The relevance of the blue module to the disease. The vertical coordinate indicates the importance of the module gene in the disease, and the horizontal coordinate represents the relevance of the module gene to the disease; the higher the score, the most important and relevant module in the disease. (H) The intersection gene of RIA DEGs and the MEblue module. ME, module eigengene; WGCNA, weighted gene co-expression network analysis; DEG, differentially expressed gene; RIA, ruptured intracranial aneurysm.