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Fig. 7 | Journal of Translational Medicine

Fig. 7

From: DNA methylation regulator-mediated modification patterns and risk of intracranial aneurysm: a multi-omics and epigenome-wide association study integrating machine learning, Mendelian randomization, eQTL and mQTL data

Fig. 7

Construction and testing of the Methylation-related genes (MRGs) riskscore. A The AUC value of 100 machine-learning algorithm combinations in the three testing cohorts. ROC curves (B), decision curves (C) and calibration curves (D) were used in MRGs to identify RIA and uIA in the GSE122897 cohort, GSE36791 + GSE159610 cohort and GSE13353 + GSE54083 + GSE75436 cohort. E Diagnostic value of 17 diagnostic genes in MRGs

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