<p>Area under curve (AUC) of receiver operating characteristic (ROC) for miR-125b corresponding to (A)Tumor grade (B)Metastasis (C)Lymph node status and (D)Survival of EOC patients.</p
<p>(A) The left diagram represents the ROC curves of ADC values (x10<sup>-3</sup> mm<sup>2</sup>/s, ...
<p>(a) The AUC of miR-106, miR-25 and miR-93 were 0.898, 0.756 and 0.817 respectively (all <i>P</i><...
<p>ROC curves regarding diagnostic power to distinguish UA patients from non-UA cases for 7 selected...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>Receiver operating characteristics (ROC) curves for the detected serum MIRNAs. MiR-1281 and miR-1...
<p>Note. A) ROC curve for all stage CRC with a non-optimism corrected AUC of 0.8870. B) ROC curve fo...
<p>Receiver operating characteristic curve (ROC) analysis for the set of 6 microRNAs for total breas...
<p>The area under curve (AUC) was determined for miR-103 in the cellular fraction of human periphera...
<p>Receiver operating characteristic (ROC) curves to assess the utility of miRNAs to differentiate L...
<p>(A) solid-to-tumor (S/T) ratio: AUC, 0.921 (95%CI: 0.857–0.958). (B) average CT value (AVG): AUC,...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
<p>Receiver operating characteristic (ROC) curves of nodal tumor volume (NTV) and N category for pre...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
The area under the curve is a range between 0.5 (no predictive power) and 1.0 (perfect predictive ac...
The area under the ROC curve is 0.6891, corresponding to a poor overall accuracy of the test.</p
<p>(A) The left diagram represents the ROC curves of ADC values (x10<sup>-3</sup> mm<sup>2</sup>/s, ...
<p>(a) The AUC of miR-106, miR-25 and miR-93 were 0.898, 0.756 and 0.817 respectively (all <i>P</i><...
<p>ROC curves regarding diagnostic power to distinguish UA patients from non-UA cases for 7 selected...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>Receiver operating characteristics (ROC) curves for the detected serum MIRNAs. MiR-1281 and miR-1...
<p>Note. A) ROC curve for all stage CRC with a non-optimism corrected AUC of 0.8870. B) ROC curve fo...
<p>Receiver operating characteristic curve (ROC) analysis for the set of 6 microRNAs for total breas...
<p>The area under curve (AUC) was determined for miR-103 in the cellular fraction of human periphera...
<p>Receiver operating characteristic (ROC) curves to assess the utility of miRNAs to differentiate L...
<p>(A) solid-to-tumor (S/T) ratio: AUC, 0.921 (95%CI: 0.857–0.958). (B) average CT value (AVG): AUC,...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
<p>Receiver operating characteristic (ROC) curves of nodal tumor volume (NTV) and N category for pre...
<p>The area under the ROC curve (AUC) represents how accurate the individual and combined biomarkers...
The area under the curve is a range between 0.5 (no predictive power) and 1.0 (perfect predictive ac...
The area under the ROC curve is 0.6891, corresponding to a poor overall accuracy of the test.</p
<p>(A) The left diagram represents the ROC curves of ADC values (x10<sup>-3</sup> mm<sup>2</sup>/s, ...
<p>(a) The AUC of miR-106, miR-25 and miR-93 were 0.898, 0.756 and 0.817 respectively (all <i>P</i><...
<p>ROC curves regarding diagnostic power to distinguish UA patients from non-UA cases for 7 selected...