<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers can discriminate between lymphoma and control samples. A) Lymphoma patients versus controls for individual genes. B) Lymphoma patients versus controls for the combined gene panel.</p
<p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negati...
Receiver operating characteristic (ROC) curves are a powerful and fl exible tool to identify differe...
<p>The curves shown were obtained by processing quantified raw data by SigmaPlot 12.0 version softwa...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>Receiver-operating characteristics (ROC) curve to calculate sensitivity and specificity of circul...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
<p>The solid line shows the result of absolute values of each biomarker. The area under the curve (A...
(A) Comparison of ROC curves for TK 210 ELISA and TK1 activity assay in differentiation of hematolog...
<p>The solid line shows the result of the absolute values of each cytokine. The area under the curve...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
<p>Receiver operating characteristic curve (ROC) analysis for the set of 6 microRNAs for total breas...
<p>(A) Area under curve (AUC) value was 89%. At cutoff value of 0.41, sensitivity was 87% and specif...
<p>ROC curve comparing the patients who required or did not require hospitalization within the first...
<p>Receiver operating characteristic curve (ROC) of 18S rRNA gene based quantitative PCR from biolog...
<p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negati...
Receiver operating characteristic (ROC) curves are a powerful and fl exible tool to identify differe...
<p>The curves shown were obtained by processing quantified raw data by SigmaPlot 12.0 version softwa...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>Receiver-operating characteristics (ROC) curve to calculate sensitivity and specificity of circul...
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure...
<p>The solid line shows the result of absolute values of each biomarker. The area under the curve (A...
(A) Comparison of ROC curves for TK 210 ELISA and TK1 activity assay in differentiation of hematolog...
<p>The solid line shows the result of the absolute values of each cytokine. The area under the curve...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
<p>Receiver operating characteristic curve (ROC) analysis for the set of 6 microRNAs for total breas...
<p>(A) Area under curve (AUC) value was 89%. At cutoff value of 0.41, sensitivity was 87% and specif...
<p>ROC curve comparing the patients who required or did not require hospitalization within the first...
<p>Receiver operating characteristic curve (ROC) of 18S rRNA gene based quantitative PCR from biolog...
<p>(A,B) ROC analysis of lung cancer patients and healthy controls, and healthy controls as a negati...
Receiver operating characteristic (ROC) curves are a powerful and fl exible tool to identify differe...
<p>The curves shown were obtained by processing quantified raw data by SigmaPlot 12.0 version softwa...