<p>The indicators include the sequence pattern, the structural propensities (local conformation, residue propensities in the microenvironment, accessibility and centrality) and their combination. For combination, individual indicators were combined by a weighted summing scheme (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0083167#pone.0083167.s009" target="_blank">Table S2</a> for the weights). The AUC values were calculated according to the structural propensities, the likelihood scores derived via five-fold cross-validation of the corresponding models or their combinations (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0083167#pone.0083167.s010" target="_blank">Text S1</a> for detai...
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
<p>Each ROC curve corresponds to predictions with specified (on the legend) size of the sliding wind...
<p>The solid curve is the ROC curve for the prediction model established on the basis of the trainin...
<p>This translated into a sensitivity = 88% and specificity = 72% for discriminating between progres...
<p>In each figure, the solid (<i>blue</i>) curve corresponds to the cross validation test on the sam...
<p>Here, a propensity score was calculated as the relative propensity of a pattern between the backg...
<p>The areas under the ROC curves or AUC are 0.834, 0.826, 0.814, 0.815, 0.789 and 0.761 for iDNA-Pr...
The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessin...
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...
<p><b>Copyright information:</b></p><p>Taken from "Human microRNA prediction through a probabilistic...
<p>The ROC curve is plotted with the <i>Sn</i> as the <i>y</i>-axis and 1 − <i>Sp</i> as the <i>x</i...
<p>Predictive ability of the biomarkers measured as assessed by area under the ROC curve analyses.</...
The relative operating characteristic (ROC) is a widely-used method to measure diagnostic signals in...
<p>The curve describes the tradeoff between sensitivity and specificity at different thresholds for ...
<p>(A) High predictive power can be achieved for most allosteric proteins with distant functional an...
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
<p>Each ROC curve corresponds to predictions with specified (on the legend) size of the sliding wind...
<p>The solid curve is the ROC curve for the prediction model established on the basis of the trainin...
<p>This translated into a sensitivity = 88% and specificity = 72% for discriminating between progres...
<p>In each figure, the solid (<i>blue</i>) curve corresponds to the cross validation test on the sam...
<p>Here, a propensity score was calculated as the relative propensity of a pattern between the backg...
<p>The areas under the ROC curves or AUC are 0.834, 0.826, 0.814, 0.815, 0.789 and 0.761 for iDNA-Pr...
The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessin...
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...
<p><b>Copyright information:</b></p><p>Taken from "Human microRNA prediction through a probabilistic...
<p>The ROC curve is plotted with the <i>Sn</i> as the <i>y</i>-axis and 1 − <i>Sp</i> as the <i>x</i...
<p>Predictive ability of the biomarkers measured as assessed by area under the ROC curve analyses.</...
The relative operating characteristic (ROC) is a widely-used method to measure diagnostic signals in...
<p>The curve describes the tradeoff between sensitivity and specificity at different thresholds for ...
<p>(A) High predictive power can be achieved for most allosteric proteins with distant functional an...
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
<p>Each ROC curve corresponds to predictions with specified (on the legend) size of the sliding wind...
<p>The solid curve is the ROC curve for the prediction model established on the basis of the trainin...