<p>The ROC curve depicts the performance of our algorithm to identify known pain genes listed in the Pain Genes Database <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002538#pcbi.1002538-LacroixFralish2" target="_blank">[18]</a>. The area under the ROC curve is 60.5%, which is significantly different from random chance. Maximum sensitivity and specificity are 56.9% and 62.7% respectively.</p
<p>The receiver operator characteristic (ROC) curve of a simple threshold classifier over all datase...
Predicted values of the genes of interest were generated using General Linear Model to account for c...
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...
<p>Note: the threshold at fixed specificity/sensitivity achieved by doctors are used to calculate th...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
<p>The curve describes the association between sensitivity and specificity at different thresholds. ...
<p>The ROC curve was generated using the results obtained by analyzing 50 negative human serum sampl...
<p>Sensitivity and specificity values were obtained for increasing classification thresholds to prod...
<p>A receiver-operating curve (ROC) was generated as a preliminary estimate of the accuracy of relat...
<p>Based on the L1-regularized logistic regression model with six proteins, a receiver operating cha...
<p>Receiver operating characteristic (ROC) curves are a widely accepted indicator of diagnostic util...
<p>*ROC plot for diagnostic accuracy presents true positive rate vs. false positive rate (or sensiti...
<p>The curve describes the tradeoff between sensitivity and specificity at different thresholds for ...
<p>The curve describes the association between sensitivity and specificity at different thresholds. ...
<p><b>Copyright information:</b></p><p>Taken from "Human microRNA prediction through a probabilistic...
<p>The receiver operator characteristic (ROC) curve of a simple threshold classifier over all datase...
Predicted values of the genes of interest were generated using General Linear Model to account for c...
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...
<p>Note: the threshold at fixed specificity/sensitivity achieved by doctors are used to calculate th...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
<p>The curve describes the association between sensitivity and specificity at different thresholds. ...
<p>The ROC curve was generated using the results obtained by analyzing 50 negative human serum sampl...
<p>Sensitivity and specificity values were obtained for increasing classification thresholds to prod...
<p>A receiver-operating curve (ROC) was generated as a preliminary estimate of the accuracy of relat...
<p>Based on the L1-regularized logistic regression model with six proteins, a receiver operating cha...
<p>Receiver operating characteristic (ROC) curves are a widely accepted indicator of diagnostic util...
<p>*ROC plot for diagnostic accuracy presents true positive rate vs. false positive rate (or sensiti...
<p>The curve describes the tradeoff between sensitivity and specificity at different thresholds for ...
<p>The curve describes the association between sensitivity and specificity at different thresholds. ...
<p><b>Copyright information:</b></p><p>Taken from "Human microRNA prediction through a probabilistic...
<p>The receiver operator characteristic (ROC) curve of a simple threshold classifier over all datase...
Predicted values of the genes of interest were generated using General Linear Model to account for c...
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...