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Fig. 7 | Clinical Epigenetics

Fig. 7

From: Identification of potential blood biomarkers for Parkinson’s disease by gene expression and DNA methylation data integration analysis

Fig. 7

ROC curves for hypo-up gene classifiers. a Top 21 hypo-up gene expression classifier. AUC stands for area under the curve. ROC stands for receiver operating characteristic. The p value is calculated using the “wilcox.test” function. b Top 33 hypo-up gene methylation classifier based on all gene region CpGs. c Top 30 hypo-up gene methylation classifier based on dominant methylation-altered region CpGs. d–i These random forest classifiers composed of conditional inference trees are implemented by “party” package. d Top 21 hypo-up gene expression classifier for 403 samples with gender information but does not consider gender information as an input feature. e Top 33 hypo-up gene methylation classifier based on all gene region CpGs without “gender” as a feature. f Top 30 hypo-up gene methylation classifier based on dominant methylation-altered region CpGs without “gender” as a feature. g Top 21 hypo-up gene expression classifier with “gender” as a feature. h Top 33 hypo-up gene methylation classifier based on all gene region CpGs with “gender” as a feature. i Top 30 hypo-up gene methylation classifier based on dominant methylation-altered region CpGs with “gender” as a feature. j The ROC curve of top 21 gene expression classifier for AD samples. k The ROC curve of top 21 gene expression classifier for HD samples

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