<p>In the figure on the left we plot the rank of the top most confident links of the GENIE3 prediction versus the rank which these edges received in the E-SVM prediction. True positive links are indicated as green squares. Although the AUROC and AUPR scores of both methods are almost identical for this network, several top predicted edges by GENIE3, including true positives, appear much further down the ranking of E-SVM and vice versa.</p
<p>The comparison is done separately for each classifier: (A) SVM-linear (B) SVM-radial (C) Random F...
A) ROC curves for compound-wise rankings (gray curves) and compound-aggregated rankings (coloured cu...
<p>Pink nodes indicate the connected component including outcome (mRS90). Green edges indicate posit...
<p>(<b>a</b>) Target Network. Circles and links are genes and regulatory links among genes, respecti...
<p>Black squares and lines show performances of Top<i>k</i>Net algorithm. For example, values at <i>...
<p>Shown in blue is the performance of three individual algorithms: GENIE3 and the ensemble versions...
<p>Gray dotted lines highlight the selected top features for high (top 70) and low (top 322) similar...
<p>Black squares and lines show performances of Top<i>k</i>Net algorithm. For example, values at <i>...
<p>Precision plots of three link prediction algorithms: Adamic-Adar (left), Common Neighbors (middle...
<p><b>A.</b> Comparison based on fold enrichment of true edges in the inferred network. The cartoon ...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
<p>For each of the 15 networks of the DREAM5 SYSGEN A challenge (5 for each sample size), the perfor...
SuRe outperforms all learning methods in terms of accuracy, speed, scalability, and memory usage.</p
<p>Average AUC(PvsR) values for the 100-gene networks from DREAM4 <i>In Silico</i> challenge after t...
<p>Red lines show performance of Top<i>k</i>Net integrating algorithms that are optimal for a datase...
<p>The comparison is done separately for each classifier: (A) SVM-linear (B) SVM-radial (C) Random F...
A) ROC curves for compound-wise rankings (gray curves) and compound-aggregated rankings (coloured cu...
<p>Pink nodes indicate the connected component including outcome (mRS90). Green edges indicate posit...
<p>(<b>a</b>) Target Network. Circles and links are genes and regulatory links among genes, respecti...
<p>Black squares and lines show performances of Top<i>k</i>Net algorithm. For example, values at <i>...
<p>Shown in blue is the performance of three individual algorithms: GENIE3 and the ensemble versions...
<p>Gray dotted lines highlight the selected top features for high (top 70) and low (top 322) similar...
<p>Black squares and lines show performances of Top<i>k</i>Net algorithm. For example, values at <i>...
<p>Precision plots of three link prediction algorithms: Adamic-Adar (left), Common Neighbors (middle...
<p><b>A.</b> Comparison based on fold enrichment of true edges in the inferred network. The cartoon ...
<p>Each value is averaged over 100 independent runs with random divisions of training set and probe...
<p>For each of the 15 networks of the DREAM5 SYSGEN A challenge (5 for each sample size), the perfor...
SuRe outperforms all learning methods in terms of accuracy, speed, scalability, and memory usage.</p
<p>Average AUC(PvsR) values for the 100-gene networks from DREAM4 <i>In Silico</i> challenge after t...
<p>Red lines show performance of Top<i>k</i>Net integrating algorithms that are optimal for a datase...
<p>The comparison is done separately for each classifier: (A) SVM-linear (B) SVM-radial (C) Random F...
A) ROC curves for compound-wise rankings (gray curves) and compound-aggregated rankings (coloured cu...
<p>Pink nodes indicate the connected component including outcome (mRS90). Green edges indicate posit...