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Modules were identified on the dendrogram using the Dynamic Tree Cut algorithm [ 27].
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Two major groups were identified on the resulting dendrogram, shown in Additional file 13.
Percent similarities were identified on a dendrogram derived from the unweighted pair group method using arithmetic averages and based on Dice coefficients.
Percent similarities were identified on dendrogram derived from the unweighted pair group method with arithmetic averages (UPGMA) and based on Dice coefficients.
Eighteen disease clusters were identified from the dendrogram.
Distinct branches of 20-30 samples were identified from the dendrogram and further studied as subgroups.
After performing hierarchical clustering four major clusters were identified by the dendrogram (Fig. 6b).
The majority of these isolates were identified using the dendrograms generated by BioNumerics.
Two major branches on the dendrogram were identified.
Two major clusters were identified in the resulting dendrogram (Figure 2).
The results of the AFLP analysis presented on the dendrogram constructed with the UPGMA method failed to identify any spatial clustering among the different geographic regions.
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