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This is illustrated by the dendrogram in figure 1.
Hierarchical clustering of the seventeen Aeromonas isolates based on the overall variability in the M-CGH data is represented by the dendrogram in Figure 1A.
Therefore, UHCA was performed on the normalized miRNA expression data, and the result is shown in Figure 2. The cluster pattern of the miRNAs, represented by the dendrogram in the Y-axis, reveals that the assays allocated at different array cards are not segregated.
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By cutting the dendrogram in Figure 5 at various linkage costs we are able to extract clusters of the desired granularity.
The hierarchical clustering identified nine substantive networks illustrated by the map in Figure 3 and the dendrogram in Figure 4.
Therefore, we clustered the modules into seven distinct groups, as depicted by the dendrogram at the top in supplementary Figure S4.
The bottle-neck is the pair-wise group alignments must be done in order dictated by the dendrogram (O(m)), and each alignment requires all the column pair-wise scores be calculated (O(m)).
Cluster analysis showed no clustering of patients in the heat map, and this finding is supported by the dendrogram.
The ordering is given by the dendrogram which is displayed on the side of the heatmap.
The six clusters were identified by defining a cut-off point in the dendrogram shown in Figure 1A.
In the absence of outlying SVI values, this method grouped the SVI values of all CAs into four clusters (this is confirmed by dendrogram) in which the total within-cluster variance was minimized while the significance of differences between clusters was maximized (Ward 1963; De Smith et al. 2009).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com