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A hierarchical cluster dendrogram was generated using Yule's Q as the similarity measure between clusters, with a higher value indicating greater similarity measurement.
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In these studies, spectral reordering [Barnard et al., 1995] or k-means clustering [Hartigan and Wong, 1979; Hartigan, 1975] were used, because a sharp segregation between clusters with distinct connectivity was expected on the basis of previous evidence from tracer-injection studies in macaques [Behrens and Johansen-Berg, 2005].
The primary visual difference between clusters with similar spatial distributions appears to depend on gender, viewpoint, and lighting differences.
The strong bonding between clusters with unreduced ions (Eq. 5) or between two charged clusters leads to fasten association processes (Eq. 6).
Structural homogeneity within clusters, and structural differences between clusters with high RMSD differences of those individual regions, can be shown by hydrogen-bond analyses.
The bonding between clusters with unreduced ions or two charged clusters is also strong and these association processes are fast: M 2 + + M 2 + → M 4 2 + (9) M m + M + → M m + 1 + (10) M m + x x + + M p + y y + → M n + z z + (11).
Death case numbers were compared between clusters with high-risk mortality and those lying outside the clusters.
They are thus best suited for comparisons between clusters with similar sizes since they are dependent on sequence abundances.
The most prominent difference was observed between clusters with distal and proximal enrichment of RTSSs relative to genes.
In a few cases, these densities are bimodal or skewed reflecting uncertainty in the allocation of the particular combination between clusters with markedly different risks.
Admixture analysis (Alexander et al. 2009) (fig. 2) also revealed significant admixture between clusters with several individuals sharing substantial ancestry from more than one cluster.
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