<p>The best performance for each network is emphasized in bold. Each number is obtained by averaging over 50 implementations with independently random partitions of training set and testing set.</p
<p><b>(A)</b> AUC of the three algorithms. AUC measures the area under the ROC curves. <b>(B)</b> Pe...
<p>All values are AUCs averaged over all <i>p</i>-value thresholds for each data set and algorithm. ...
<p>Comparison the prediction results based on differing a times and doses in the repeat subset of TG...
<p>The best performance for each network is emphasized in bold. Each number is obtained by averaging...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
The AUC results compared with the state-of-the-art methods on 13 real networks.</p
<p>Each column represents the combination of network inference method and similarity/dissimilarity m...
The AUC and precision results compared with baseline methods on 13 real networks.</p
<p>The AUC is the integral of the area below the ROC curve, as shown in <a href="http://www.plosone....
<p>Shown are the average AUC values for test individuals for the different algorithms when using Boo...
ROC curve of median case in single-image-unit-based-prediction (a) and patient-unit-based-prediction...
<p> <b>The AUC (ROC score) is the area under the ROC curve, normalized to 100 for a ...
<p>Average AUC(ROC) and AUC(PvsR) for the five networks of three different sizes from the DREAM3 <i>...
<p>Performance comparisons are for a single dataset generated using GeneNetWeaver. The simulated dat...
<p>(training period: 0–30 (, ), testing period: 30–60 (, ), dataset: SocioPatterns dataset).</p
<p><b>(A)</b> AUC of the three algorithms. AUC measures the area under the ROC curves. <b>(B)</b> Pe...
<p>All values are AUCs averaged over all <i>p</i>-value thresholds for each data set and algorithm. ...
<p>Comparison the prediction results based on differing a times and doses in the repeat subset of TG...
<p>The best performance for each network is emphasized in bold. Each number is obtained by averaging...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
The AUC results compared with the state-of-the-art methods on 13 real networks.</p
<p>Each column represents the combination of network inference method and similarity/dissimilarity m...
The AUC and precision results compared with baseline methods on 13 real networks.</p
<p>The AUC is the integral of the area below the ROC curve, as shown in <a href="http://www.plosone....
<p>Shown are the average AUC values for test individuals for the different algorithms when using Boo...
ROC curve of median case in single-image-unit-based-prediction (a) and patient-unit-based-prediction...
<p> <b>The AUC (ROC score) is the area under the ROC curve, normalized to 100 for a ...
<p>Average AUC(ROC) and AUC(PvsR) for the five networks of three different sizes from the DREAM3 <i>...
<p>Performance comparisons are for a single dataset generated using GeneNetWeaver. The simulated dat...
<p>(training period: 0–30 (, ), testing period: 30–60 (, ), dataset: SocioPatterns dataset).</p
<p><b>(A)</b> AUC of the three algorithms. AUC measures the area under the ROC curves. <b>(B)</b> Pe...
<p>All values are AUCs averaged over all <i>p</i>-value thresholds for each data set and algorithm. ...
<p>Comparison the prediction results based on differing a times and doses in the repeat subset of TG...
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