<p>Precision-recall curves for neighbor counting (NC), Markov random field (MRF) and the current study (RF) are shown in panel (a). MCC maximum values are indicated by arrows. MRF provides quite accurate prediction for the low recall region (), which corresponds to true positive predictions for the top 10 highest background functions. In panel (b) RF using community structure from SA (RF) is shown along with the CSA data.</p
<p>Shows the precision (number of correct assignments/number of assignments made) on the y-axis and ...
<p>Prediction efficiencies are measured by AUC (area under the PR curve) and the maximum value of MC...
<p>Precision-recall curves for the recovery of eQTLs are shown, using the same simulated datasets an...
<p>PR curves (recall in horizontal axis, precision in vertical axis) of all the benchmarks (B1–B7) f...
<p>ROC curves and precision-recall curves obtained for the prediction of one representative network ...
<p>Left panel corresponds to evaluation of OMIM phenotypes, and the right corresponds to drug data. ...
<p>Neighbor counting (NC) results (green squares) are shown in (a) and (b), and Markov random field ...
Precision recall curves for the top performing model compared to individual feature predictions.</p
Precision-Recall analysis abounds in applications of binary classification where true negatives do n...
<p>The blue and the red curve indicate estimators of the best and the worst curve, respectively. The...
<p>Precision-Recall curves for the three experimental settings (Multi-instance Learning, Multi-insta...
<p>Comparison of disorder predictors in terms of (A) ROC curve and (B) precision-recall curve on CAS...
<p>Comparison of this work's objective function, which maximizes node score (IP), to two alternative...
Precision/recall curves in red are associated with the gap method, and the point marked with a circl...
<p>Precision-recall (right) and ROC (left) are shown for all gene sets (27 for human and 18 for fly)...
<p>Shows the precision (number of correct assignments/number of assignments made) on the y-axis and ...
<p>Prediction efficiencies are measured by AUC (area under the PR curve) and the maximum value of MC...
<p>Precision-recall curves for the recovery of eQTLs are shown, using the same simulated datasets an...
<p>PR curves (recall in horizontal axis, precision in vertical axis) of all the benchmarks (B1–B7) f...
<p>ROC curves and precision-recall curves obtained for the prediction of one representative network ...
<p>Left panel corresponds to evaluation of OMIM phenotypes, and the right corresponds to drug data. ...
<p>Neighbor counting (NC) results (green squares) are shown in (a) and (b), and Markov random field ...
Precision recall curves for the top performing model compared to individual feature predictions.</p
Precision-Recall analysis abounds in applications of binary classification where true negatives do n...
<p>The blue and the red curve indicate estimators of the best and the worst curve, respectively. The...
<p>Precision-Recall curves for the three experimental settings (Multi-instance Learning, Multi-insta...
<p>Comparison of disorder predictors in terms of (A) ROC curve and (B) precision-recall curve on CAS...
<p>Comparison of this work's objective function, which maximizes node score (IP), to two alternative...
Precision/recall curves in red are associated with the gap method, and the point marked with a circl...
<p>Precision-recall (right) and ROC (left) are shown for all gene sets (27 for human and 18 for fly)...
<p>Shows the precision (number of correct assignments/number of assignments made) on the y-axis and ...
<p>Prediction efficiencies are measured by AUC (area under the PR curve) and the maximum value of MC...
<p>Precision-recall curves for the recovery of eQTLs are shown, using the same simulated datasets an...
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