<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotation for each graph representation using Infomap, at different threshold values (<i>ω</i>).</p
<p>Structural-AKI thresholds for severity stages based on equivalent sensitivity (62%) to Functional...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>The threshold values of Moran’s index, Geary’s coefficient and the revised results.</p
<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotati...
<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotati...
<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotati...
<p>Results for the functional annotation for each graph representation using Infomap, showing the RO...
<p>Values for the AUC for the functional annotation with each clustering algorithm and graph represe...
<p>These graphs show the relationships between sensitivity (above) and specificity (below) and thres...
<p>Data are thresholded at p < 0.05, FDR-corrected at the cluster level.</p><p>Results of the functi...
<p>Different sensitivities and specificities of the prediction system by adjusting threshold values....
<p>Results for the functional annotation for each graph representation using BGLL, showing the ROC c...
<p>Results for the functional annotation for each graph representation using timeBGLL, showing the R...
An average predictive accuracy graph using training datasets for threshold value identification.</p
An average predictive accuracy graph using the 10-fold cross-validation technique for threshold valu...
<p>Structural-AKI thresholds for severity stages based on equivalent sensitivity (62%) to Functional...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>The threshold values of Moran’s index, Geary’s coefficient and the revised results.</p
<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotati...
<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotati...
<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotati...
<p>Results for the functional annotation for each graph representation using Infomap, showing the RO...
<p>Values for the AUC for the functional annotation with each clustering algorithm and graph represe...
<p>These graphs show the relationships between sensitivity (above) and specificity (below) and thres...
<p>Data are thresholded at p < 0.05, FDR-corrected at the cluster level.</p><p>Results of the functi...
<p>Different sensitivities and specificities of the prediction system by adjusting threshold values....
<p>Results for the functional annotation for each graph representation using BGLL, showing the ROC c...
<p>Results for the functional annotation for each graph representation using timeBGLL, showing the R...
An average predictive accuracy graph using training datasets for threshold value identification.</p
An average predictive accuracy graph using the 10-fold cross-validation technique for threshold valu...
<p>Structural-AKI thresholds for severity stages based on equivalent sensitivity (62%) to Functional...
<p>The curve presents the true positive rate (or sensitivity) in function of false positive rate for...
<p>The threshold values of Moran’s index, Geary’s coefficient and the revised results.</p
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