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Fig. 2 | European Journal of Medical Research

Fig. 2

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

Fig. 2

The heatmap and volcano plot of DEGs between uremia and the control, module genes recognition in uremia via WGCNA. A Heatmap showing the top 30 up-regulated and down-regulated DEGs in uremia compared with the control. Red blocks indicate up-regulation between the two groups, while blue blocks indicate down-regulation. B The volcano plot displaying all DEGs between uremia and the control. Significantly up-regulated and down-regulated DEGs with significant upregulations or downregulations are marked in red and green, respectively. C The heatmap of uremia-associated modules. Numbers in the top left corner indicate module–uremia correlation, and the P value in the lower right corner indicates the correlation. In uremia, cyan and pink modules show the most significant correlation. D–E The correlation between module membership in the cyan/pink module and gene significance in uremia. F The Venn plot displays that showing the 2795 DEGs were identified from the intersection between DEGs via Limma and significant module genes via WGCNA in uremia. DEGs differentially expressed genes, WGCNA weighted gene co-expression network analysis

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European Journal of Medical Research

ISSN: 2047-783X

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