<p>In this case, the Area Under the ROC Curve (AUC) of the non-bootstrapped SPACE method was 0.748, while that of the bootstrapped SPACE method was 0.816. The Area Under the Precision-Recall (AUPR) curve also improves from 0.249 (SPACE) to 0.273 (bootstrapping).</p
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
<p>In these plots, the y-axis shows the performance of the reconstructed network, measured by the AU...
<p>An example of Receiver operating characteristic (ROC) analysis for the prediction of ‘true segreg...
<p>ROC curves and precision-recall curves obtained for the prediction of one representative network ...
<p>The Figure shows receiver operator characteristic (ROC) and precision to recall curves (PR) for n...
<p>The area under the ROC curve (AUC) values shown were computed from 100 simulations for each setti...
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decisi...
<p><b>(a)</b> The ensemble-based prediction model based on all five combined patterns has an area un...
<p>NC classifier trained as a function of the number of samples in a -fold CV setting for each of th...
<p>NC classifier trained as a function of the number of samples in a -fold CV setting. We show here ...
<p>The average ROC curves (20 repetitions) of the twelve gene-permuting GSEA methods applied to simu...
Receiver Operator Characteristic (ROC) curves and Precision-Recall (PR) curves are commonly used to ...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
<p>Precision-recall (right) and ROC (left) are shown for all gene sets (27 for human and 18 for fly)...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
<p>In these plots, the y-axis shows the performance of the reconstructed network, measured by the AU...
<p>An example of Receiver operating characteristic (ROC) analysis for the prediction of ‘true segreg...
<p>ROC curves and precision-recall curves obtained for the prediction of one representative network ...
<p>The Figure shows receiver operator characteristic (ROC) and precision to recall curves (PR) for n...
<p>The area under the ROC curve (AUC) values shown were computed from 100 simulations for each setti...
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decisi...
<p><b>(a)</b> The ensemble-based prediction model based on all five combined patterns has an area un...
<p>NC classifier trained as a function of the number of samples in a -fold CV setting for each of th...
<p>NC classifier trained as a function of the number of samples in a -fold CV setting. We show here ...
<p>The average ROC curves (20 repetitions) of the twelve gene-permuting GSEA methods applied to simu...
Receiver Operator Characteristic (ROC) curves and Precision-Recall (PR) curves are commonly used to ...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
<p>Precision-recall (right) and ROC (left) are shown for all gene sets (27 for human and 18 for fly)...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
<p>In these plots, the y-axis shows the performance of the reconstructed network, measured by the AU...
<p>An example of Receiver operating characteristic (ROC) analysis for the prediction of ‘true segreg...