However, our supplementary analysis showed that the topography of power differences did not match the topography of S-estimator differences, and, moreover, there were no correlations between the power and S-estimator between-group differences either within the clusters of S-changes associated with SZ or outside of them.
The pattern of pairwise differences among each population and between the 2 is shown in Figure 2. The cluster of 20 isolates showed a range of 0 8 and mean of 4 pairwise differences ("within-cluster" differences); comparing each isolate in the cluster with each in the reference population showed differences at between 20 and 668 loci, with a mean of 295.
In this work, the constant a was set to 5. The Silhouette score is used to evaluate the clustering performance as follows: 3where S i is the Silhouette score of the ith cluster, dintra is the average pairwise m/ z value difference within the ith cluster, dinter is the minimum average distance between the ith cluster and all other clusters.
These five isolates were therefore considered to be the outbreak isolates, though it was not possible to obtain directional information from this analysis owing to the low number of SNPs differentiating isolates; in total, there were less than 15 SNP differences within the outbreak strain cluster (figure 1B).
Analysis of methylation differences within the Hoxa gene cluster during development indicates that two additional DS-DMRs not seen as T-DMRs for adult tissues were observed when samples from all three developmental stages were examined (Additional file 6; Additional file 7).
Of 281 cases, we found 139 (49%) where there were with no differences in identifiers within the cluster, and 142 (51%) with differences in identifiers within the cluster.
Significant differences between the clusters are presented.
If all variation within each treatment group is "explained" by differences within clusters, and no variation is observed between clusters (that is, in the absence of clustering), the ICC=0.
We examined cluster memberships at different stages of the analysis and selected the four-cluster solution to best represent the data, because the cluster profiles were most interpretable, and they seemed to maximise the differences between and minimise the differences within each cluster.
We accounted for such possible non-random differences within countries (clusters) using multilevel logistic regression techniques.
