<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotation for each graph representation using each of the clustering algorithms, at a fixed threshold value (<i>ω</i> = 0).</p
The number of new cases that join any cluster (ie. the total cluster growth) plotted against the bra...
<p>Peak activations with corresponding T-values and Z-values of brain regions, which showed enhanced...
<p>a) shows rates when the proportion of studies reporting in the clusters is 40%, 50%, and 60%. b) ...
<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>Values for the AUC for the functional annotation with each clustering algorithm and graph represe...
<p>Data are thresholded at p < 0.05, FDR-corrected at the cluster level.</p><p>Results of the functi...
<p>Results for the functional annotation for each graph representation using FC, showing the ROC cur...
<p>Lower values yield smaller coverage of the average cluster, i.e. fewer mistakes during the term a...
<p>These graphs show the relationships between sensitivity (above) and specificity (below) and thres...
<p>A figure of merit is an estimate of the predictive power of a clustering algorithm. The lower the...
(A) Thresholding clusters by the number of annotations in the cluster improved precision by 17% whil...
<p>List of enriched functional annotation groups in 8 clusters by functional annotation clustering a...
<p>Sensitivity of the algorithm performance (normalised mutual information) for all metrics (Parsons...
The number of new cases that join any cluster (ie. the total cluster growth) plotted against the bra...
<p>Peak activations with corresponding T-values and Z-values of brain regions, which showed enhanced...
<p>a) shows rates when the proportion of studies reporting in the clusters is 40%, 50%, and 60%. b) ...
<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>Values for the AUC for the functional annotation with each clustering algorithm and graph represe...
<p>Data are thresholded at p < 0.05, FDR-corrected at the cluster level.</p><p>Results of the functi...
<p>Results for the functional annotation for each graph representation using FC, showing the ROC cur...
<p>Lower values yield smaller coverage of the average cluster, i.e. fewer mistakes during the term a...
<p>These graphs show the relationships between sensitivity (above) and specificity (below) and thres...
<p>A figure of merit is an estimate of the predictive power of a clustering algorithm. The lower the...
(A) Thresholding clusters by the number of annotations in the cluster improved precision by 17% whil...
<p>List of enriched functional annotation groups in 8 clusters by functional annotation clustering a...
<p>Sensitivity of the algorithm performance (normalised mutual information) for all metrics (Parsons...
The number of new cases that join any cluster (ie. the total cluster growth) plotted against the bra...
<p>Peak activations with corresponding T-values and Z-values of brain regions, which showed enhanced...
<p>a) shows rates when the proportion of studies reporting in the clusters is 40%, 50%, and 60%. b) ...