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Grouping of the sequences, visualized by background color, was based on branching of the dendrogram.
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At each branch, the mean correlation between neighboring clusters left and right of the new branch on the dendrogram is calculated for both potential orders of the clusters below the branch.
Clusters of metabolic profiles defined by cutting branches off the dendrogram.
The dendrogram of the clustering results shows that spectra represented by some branches of the dendrogram correspond to more anterior locations while others appear to be more posterior and are more numerous (Figure 1C and Figure S4).
The left (red) branch of the dendrogram includes all of the basal-like tumors and only nine non-basal tumor samples (seven are HER2+/ER− tumors and two are luminal-type tumors) (Figure 5A, Table 4).
Probably the best example of this is that B. hermsii serotypes that clustered in the middle branch of the Vsp dome dendrogram, like Bh2 and Bh3, shared similar low systemic virulence and higher brain dissemination with Bt1, the one B. turicatae serotype we examined from the middle branch of the dendrogram.
Modules are defined as the branches of the dendrogram.
A proliferation cluster/signature was differentially expressed across the two branches of the dendrogram.
Each branch of the dendrogram can be considered a class of spectra.
Bootstrap values (10 000 replicates) for each branch of the dendrogram were calculated using Winboot (International Rice Research Institute, Manila, Philippines).
The algorithm makes use of the internal structure in a dendrogram and clips branches of the dendrogram.
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