<p>Each point in the ROC curve is obtained by choosing a different threshold for calling differential methylation. For the Z score test and the Fisher's test the p-values are: . For the Beta distributions the threshold probabilities are: . TPR means true positive rate; FPR means false positive rate.</p
<p>Panel A gives the ROC curves at each possible control of false positive rate, while panel B only ...
<p>ROC curves of TPR versus FPR for optimal sets of biomarkers where averaged over SSVM models. T...
<p>The plot shows ROC curves for different transposon site hybridisation (TraSH) ratio thresholds fo...
<p>FPR represents the false positive rate, and TPR is the true positive rate. The ROC curve is close...
<p>They showing the True and False positive Rates (TPR and FPR). The numbers on the plots give the m...
<p>The ROC curve is a graph of the true-positive rate versus the false-positive rate using different...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>a. AUC = Area under the curve from Receiver Operator Curve (ROC); FP = False positive rate; PPV =...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>ROC curves showing true-positive rates (sensitivity) plotted against the false-positive rate for ...
<p>The color range from yellow to dark red is indicative of overall accuracy of the sample, where re...
<p>(a) ROGER logistic scoring function, (b) Default RosettaDock score, (c) the whole protein-RNA ben...
<p>True positive rate is denoted TPR and false positive rate is denoted FPR in the Figure. A. Evalua...
<p>Cut-off values determined based on the ROC analysis. TPR-true positive rate (equivalent to sensit...
<p>ROC curves (a plot of true positive rate (Sensitivity) against false positive rate (1-Specificity...
<p>Panel A gives the ROC curves at each possible control of false positive rate, while panel B only ...
<p>ROC curves of TPR versus FPR for optimal sets of biomarkers where averaged over SSVM models. T...
<p>The plot shows ROC curves for different transposon site hybridisation (TraSH) ratio thresholds fo...
<p>FPR represents the false positive rate, and TPR is the true positive rate. The ROC curve is close...
<p>They showing the True and False positive Rates (TPR and FPR). The numbers on the plots give the m...
<p>The ROC curve is a graph of the true-positive rate versus the false-positive rate using different...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>a. AUC = Area under the curve from Receiver Operator Curve (ROC); FP = False positive rate; PPV =...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>ROC curves showing true-positive rates (sensitivity) plotted against the false-positive rate for ...
<p>The color range from yellow to dark red is indicative of overall accuracy of the sample, where re...
<p>(a) ROGER logistic scoring function, (b) Default RosettaDock score, (c) the whole protein-RNA ben...
<p>True positive rate is denoted TPR and false positive rate is denoted FPR in the Figure. A. Evalua...
<p>Cut-off values determined based on the ROC analysis. TPR-true positive rate (equivalent to sensit...
<p>ROC curves (a plot of true positive rate (Sensitivity) against false positive rate (1-Specificity...
<p>Panel A gives the ROC curves at each possible control of false positive rate, while panel B only ...
<p>ROC curves of TPR versus FPR for optimal sets of biomarkers where averaged over SSVM models. T...
<p>The plot shows ROC curves for different transposon site hybridisation (TraSH) ratio thresholds fo...
DOI
Add to ORKG