<p>The blue line indicates the prediction scenario using only clinical variables (hippocampal sclerosis, age of onset epilepsy, febrile seizures, and gender). The red line indicates the second scenario using the clinical variables plus SNPs. The dark green line indicates the scenario using only SNP genotypes. The area under the curve (AUC) values is showed for the three scenarios. The diagonal dashed line indicates a non-informative prediction (AUC = 0.5).</p
<p>Solid black line show the proportion of non-null SNPs declared significant (sensitivity) for a gi...
<p>Receiver Operating Characteristic (ROC) curves show the relationship between true-positive (Sensi...
<p>a) IL-10 ROC curve, b) IL-6 ROC curve, c) IL-10/IL-6 ROC curve. The vertical axis represents the ...
<p>A ROC curve plots the true positive rate (i.e., sensitivity) against the false positive rate (i.e...
<p>ROC curves (a plot of true positive rate (Sensitivity) against false positive rate (1-Specificity...
<p>The x-axis is the false- positive rate, 1 –specificity; the y-axis is the true- positive rate, se...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>FPR represents the false positive rate, and TPR is the true positive rate. The ROC curve is close...
<p>Under each scenario, 25 datasets were simulated. Lighter lines indicate the ROC curve for a parti...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p>A receiver operating characteristic (ROC) curve was generated for total α-synuclein in iPD patien...
<p><b>Copyright information:</b></p><p>Taken from "Human microRNA prediction through a probabilistic...
<p>AUC, with 95% CI, is given for each parameter. The parameter results for patients with MS/CIS are...
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...
<p>This figure shows the performance of the logistic regression model with the four predictive marke...
<p>Solid black line show the proportion of non-null SNPs declared significant (sensitivity) for a gi...
<p>Receiver Operating Characteristic (ROC) curves show the relationship between true-positive (Sensi...
<p>a) IL-10 ROC curve, b) IL-6 ROC curve, c) IL-10/IL-6 ROC curve. The vertical axis represents the ...
<p>A ROC curve plots the true positive rate (i.e., sensitivity) against the false positive rate (i.e...
<p>ROC curves (a plot of true positive rate (Sensitivity) against false positive rate (1-Specificity...
<p>The x-axis is the false- positive rate, 1 –specificity; the y-axis is the true- positive rate, se...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>FPR represents the false positive rate, and TPR is the true positive rate. The ROC curve is close...
<p>Under each scenario, 25 datasets were simulated. Lighter lines indicate the ROC curve for a parti...
OBJECTIVES: Receiver operating characteristic (ROC) curves show how well a risk prediction model dis...
<p>A receiver operating characteristic (ROC) curve was generated for total α-synuclein in iPD patien...
<p><b>Copyright information:</b></p><p>Taken from "Human microRNA prediction through a probabilistic...
<p>AUC, with 95% CI, is given for each parameter. The parameter results for patients with MS/CIS are...
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...
<p>This figure shows the performance of the logistic regression model with the four predictive marke...
<p>Solid black line show the proportion of non-null SNPs declared significant (sensitivity) for a gi...
<p>Receiver Operating Characteristic (ROC) curves show the relationship between true-positive (Sensi...
<p>a) IL-10 ROC curve, b) IL-6 ROC curve, c) IL-10/IL-6 ROC curve. The vertical axis represents the ...