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Fig. 2 | Clinical Epigenetics

Fig. 2

From: Identification of DNA methylation-regulated genes as potential biomarkers for coronary heart disease via machine learning in the Framingham Heart Study

Fig. 2

WGCNA and module analysis based on the training set of FHS. A Modules identified from WGCNA were assigned unique colors. The heatmap showed the correlation between genes and phenotypes. Red and blue represented positive and negative correlations, respectively. B Correlations between modules and phenotypes. The top number was the correlation coefficient, and the bottom number was the corresponding p value. C–E GO (C), Reactome (D) and KEGG (E) enrichment results of the red module. F, G Network and core network based on connectivity of TOM in the red module. H, I Network and core network based on PPI in the red module. The diameter of each circle was positively correlated with the expression difference of the corresponding gene. Analogously, the deeper color indicated greater statistical significance. Red edge of circles meant the genes were up-regulated in CHD, while blue represented the genes were down-regulated in CHD

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