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. 2021 Aug 12;70:103525. doi: 10.1016/j.ebiom.2021.103525

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© 2021 The Author(s)

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Fig. 4: — ROC analysis of genes in COVID-19 positive patients to identify prognostic markers. a) ROC curve for C_t value of genes in COVID-19 positive patients. The black dashed line corresponds to no prognostic potential where True positive rate (Sensitivity) and False positive rate (1-Specificity) are equal. b) The AUC value for each ROC curve along with the p-value (calculated non-parametrically (DeLong's estimate) using the Wald test statistic). c) Boxplot of C_t values (technical replicates) for significant S100 family of genes in Positive asymptomatic (PA) and Positive symptomatic (PS) patients. The red dashed line shows the optimal C_t cut-off determined by the ROC01 method (also shown in the label in each graph). d) Optimal C_t cut-off, sensitivity, and specificity values for significant S100 family of genes.