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Fig. 9 | Journal of Translational Medicine

Fig. 9

From: DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

Fig. 9

Kaplan–Meier and ROC analysis of genes that are top predictors of COVID-19 survival showing the three genes that increase mortality (A Kaplan–Meier plot represents the difference in survival probability between high and low methylation associated with CpG within a gene region. High and low methylation represents two groups determined based on the median of methylation Z-score as a cutoff. The X-axis represents time. The Y-axis represents survival probability. The tick marks indicate the censored patients. B ROC curves of the differentially methylated genes were used to demonstrate the sensitivity and specificity in predicting the survival of COVID-19 patients at inclusion. The X-axes show the false positive percentages, while the y-axes show the true positive percentages. P values on the plots represent the significance of logistic regression, where methylation was used as a dependent variable and survival (dead/alive) as an independent variable. The area under the curve (AUC) is shown for each gene showing how good the model is for hazard prediction

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