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Two major branches on the dendrogram were identified.
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Grouping of the sequences, visualized by background color, was based on branching of 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).
Modules are defined as the branches of the dendrogram.
The algorithm makes use of the internal structure in a dendrogram and clips branches of the dendrogram.
A proliferation cluster/signature was differentially expressed across the two branches of the dendrogram.
As described in the Methods section, blood modules were defined as branches of the dendrogram [ 20, 21].
The provided GO terms correspond to the most frequently enriched terms found in the corresponding branches of the dendrogram.
Modules that had at least 30 genes that corresponded to the branches of the dendrogram were selected for analysis.
Using the dissimilarity TOM (1- TOM), a SNP dendrogram was created whereby branches of the dendrogram were cut off by the Dynamic Tree Cut algorithm [ 27] representing the SNP modules (clusters of highly interconnected SNPs).
The dissimilarity TOM was used as input for the dendrogram, and modules (clusters of highly interconnected genes) were detected as branches of the dendrogram using the DynamicTreeCut algorithm [ 106].
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