Skip to main content
Fig. 3 | European Journal of Medical Research

Fig. 3

From: Immune-associated biomarkers identification for diagnosing carotid plaque progression with uremia through systematical bioinformatics and machine learning analysis

Fig. 3

The heatmap and volcano plot of DEGs between USCP and SCP, module genes recognition in uremia via WGCNA. A Heatmap showing the top 30 up-regulated and down-regulated DEGs in USCP compared with SCP. Red blocks indicate up-regulation between the two groups, while blue blocks indicate down-regulation. B The volcano plot displaying all DEGs between USCP and SCP. Significantly up-regulated and down-regulated DEGs with significant upregulations or downregulations are marked in red and green, respectively. C The heatmap of USCP-associated modules. Numbers in the top left corner indicate module–USCP correlation, and the P value in the lower right corner indicates the correlation. In USCP, dark red and brown modules show the most significant correlation. D–E The correlation between module membership in dark red/brown module and gene significance in USCP. F The Venn plot illustrating the 1127 DEGs were identified from the intersection between DEGs via Limma and significant module genes via WGCNA in USCP. USCP unstable carotid plaque, SCP stable carotid plaque, DEGs differentially expressed genes, WGCNA weighted gene co-expression network analysis

Back to article page