<p>Receiver operating characteristics (ROC) curves for the detected serum MIRNAs. MiR-1281 and miR-126 showed the highest area under the curve (AUC) value in ROC curve analysis.</p
The Area Under roc Curve (AUC) values were as following: miR-6867-5p miR-6867-5p (0.854, PPPPPPP<0.0...
<p>A) Receiver operator characteristic (ROC) curve for miR-523,miR-218,miR-142-3p,miR 27a,miR-21. Co...
<p>ROC analysis allows the evaluation of the binary classification variable (MSAP = 0, SAP = 1) at...
<p>Serum (A) miR-744, (B) miR-376c, (C) miR-221 and (D) let-7e yielded the largest areas under the R...
<p>Receiver operating characteristic (ROC) curves are a widely accepted indicator of diagnostic util...
<p>ROC curves regarding diagnostic power to distinguish UA patients from non-UA cases for 7 selected...
<p>Receiver operating characteristic curve (ROC) analysis for the set of 6 microRNAs for total breas...
<p>Receiver operating characteristic (ROC) curves to assess the utility of miRNAs to differentiate L...
<p>ROC curves of miR-375 (<b>a</b>); miR-148a-3p (<b>b</b>); and miR-223 (<b>c</b>); the combination...
<p>ROC curve analyses using serum miR-1 (<b>A</b>), miR-133a (<b>B</b>), miR-133b (<b>C</b>) and miR...
<p>Receiving Operator Characteristic (ROC) curves for individual miRNAs and combination of miR-19b a...
<p>The miRNA expression signature of miR-449a/200a/200b discriminated endometriotic lesions (n = 22)...
<p>These six miRNAs were finally confirmed by qRT-PCR. Areas under the ROC curves are also shown.</p
<p>Area under ROC curve (AUC) analysis on 270 high-quality experimentally verified miRNA-disease ass...
<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><...
The Area Under roc Curve (AUC) values were as following: miR-6867-5p miR-6867-5p (0.854, PPPPPPP<0.0...
<p>A) Receiver operator characteristic (ROC) curve for miR-523,miR-218,miR-142-3p,miR 27a,miR-21. Co...
<p>ROC analysis allows the evaluation of the binary classification variable (MSAP = 0, SAP = 1) at...
<p>Serum (A) miR-744, (B) miR-376c, (C) miR-221 and (D) let-7e yielded the largest areas under the R...
<p>Receiver operating characteristic (ROC) curves are a widely accepted indicator of diagnostic util...
<p>ROC curves regarding diagnostic power to distinguish UA patients from non-UA cases for 7 selected...
<p>Receiver operating characteristic curve (ROC) analysis for the set of 6 microRNAs for total breas...
<p>Receiver operating characteristic (ROC) curves to assess the utility of miRNAs to differentiate L...
<p>ROC curves of miR-375 (<b>a</b>); miR-148a-3p (<b>b</b>); and miR-223 (<b>c</b>); the combination...
<p>ROC curve analyses using serum miR-1 (<b>A</b>), miR-133a (<b>B</b>), miR-133b (<b>C</b>) and miR...
<p>Receiving Operator Characteristic (ROC) curves for individual miRNAs and combination of miR-19b a...
<p>The miRNA expression signature of miR-449a/200a/200b discriminated endometriotic lesions (n = 22)...
<p>These six miRNAs were finally confirmed by qRT-PCR. Areas under the ROC curves are also shown.</p
<p>Area under ROC curve (AUC) analysis on 270 high-quality experimentally verified miRNA-disease ass...
<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><...
The Area Under roc Curve (AUC) values were as following: miR-6867-5p miR-6867-5p (0.854, PPPPPPP<0.0...
<p>A) Receiver operator characteristic (ROC) curve for miR-523,miR-218,miR-142-3p,miR 27a,miR-21. Co...
<p>ROC analysis allows the evaluation of the binary classification variable (MSAP = 0, SAP = 1) at...
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