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Each of the clustering variables differed significantly between the four clusters (Table 3).
(C ) Difference between the four clusters represented by a hierarchical graph.
In some cases, the signatures of selection were found within, but primarily they were evident between the four clusters.
In this analysis, both TTR and OS showed significant differences between the four clusters with P-values of 4.7E-5 and 0.002, respectively.
In this analysis, the difference in TTRs between the four clusters was still significant (P-value 0.045) with the median TTR of 512 days for validation samples assigned to cluster 1 but not reached for the remaining clusters (Fig. 5a).
Pairwise estimates of FST indicated a high degree of differentiation between the four clusters with values ranging from 0.21 between clusters C and D to 0.64 between clusters A and D (Table 5).
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The minimum distance between references from two clusters is simply considered as the distance between the two clusters.
We also observe that few interactions occur between the two clusters.
The height of the link illustrates the distance between the two clusters which consists of those objects.
Since the measurement functional M is binary, we see a significant gap between the two clusters, as expected.
The inverse problem is how to split a given dataset into two clusters such that the margin between the two clusters attains the maximum.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com