Research Paper Volume 13, Issue 18 pp 22345—22360

Identifying critical genes associated with aneurysmal subarachnoid hemorrhage by weighted gene co-expression network analysis

4 modules were selected by WGCNA. (A) The panel shows analysis of the scale-free fit index and mean connectivity for various soft-thresholding powers (β). (B) Genes with the highest median absolute deviation enriched modules in co-expression network, 20 co-expression cluster were identified after merging the high related modules with cutoff value 0.2. (C) Correlation between each module and phenotype. Among the modules, red (P = 0.004), blue (P = 1e-05), brown (P = 5e-04) and cyan (P = 7e-06) showed closely associated with aSAH (P

Figure 2. 4 modules were selected by WGCNA. (A) The panel shows analysis of the scale-free fit index and mean connectivity for various soft-thresholding powers (β). (B) Genes with the highest median absolute deviation enriched modules in co-expression network, 20 co-expression cluster were identified after merging the high related modules with cutoff value 0.2. (C) Correlation between each module and phenotype. Among the modules, red (P = 0.004), blue (P = 1e-05), brown (P = 5e-04) and cyan (P = 7e-06) showed closely associated with aSAH (P < 0.01).