<p>AUC, Area under the ROC Curve; All indicates the combination of E2F1, E2F2, E2F3, E2F4, E2F5, and E2F7.</p
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
<p>ROC curves for CA125 alone and the three-biomarker panel: (A) healthy controls plus benign patien...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
<p>(A) In stomach cancer, AUC was 0.8699. (B) In ovarian cancer, the AUC was 0.9812. (C) In lung can...
<p>ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.</...
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>AUC (95% C.I.) of the ROC curve analysis to discriminate patients and controls, patients with DR ...
<p>ROC curves for CA125 alone, the two and three-biomarker panels: (A) healthy controls versus patie...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
<p>The curves shown were obtained by processing quantified raw data by SigmaPlot 12.0 version softwa...
(A) ROC curve when staining intensity in adipose tissue was applied to predict tumor grade (OR = 1.0...
<p>These reflect the ability to detect hepatocellular carcinoma (HCC), focal nodular hyperplasia (FN...
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
<p>ROC curves for CA125 alone and the three-biomarker panel: (A) healthy controls plus benign patien...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
<p>ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
<p>(A) In stomach cancer, AUC was 0.8699. (B) In ovarian cancer, the AUC was 0.9812. (C) In lung can...
<p>ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.</...
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>AUC (95% C.I.) of the ROC curve analysis to discriminate patients and controls, patients with DR ...
<p>ROC curves for CA125 alone, the two and three-biomarker panels: (A) healthy controls versus patie...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
<p>The curves shown were obtained by processing quantified raw data by SigmaPlot 12.0 version softwa...
(A) ROC curve when staining intensity in adipose tissue was applied to predict tumor grade (OR = 1.0...
<p>These reflect the ability to detect hepatocellular carcinoma (HCC), focal nodular hyperplasia (FN...
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
<p>ROC curves for CA125 alone and the three-biomarker panel: (A) healthy controls plus benign patien...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
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