Sentence examples for matrices of distance from inspiring English sources

The matrices of distance maps for residue-residue distance calculations over 5000 ps are shown in Figure 8.

In traditional morphometrics, it is not possible to recover the shape of the original form using the usual data matrices of distance measurements, even as an abstract representation.

This was estimated within each group, by comparing the matrices of distance based on each partition of the mandible (Table 3) and by RV coefficients (Table 4).

Based on the algorithm published in Smouse and Peakall [ 66], the computation of the spatial autocorrelation coefficient r W-D between wild (W) and domesticated (D) populations was implemented in the R software [ 65] in order to deal with two paired asymmetrical matrices of distance Wild (rows) × Domesticated (columns).

This correlation test needed two matrices of distances between each pair of herds.

The matrices of distances must be Euclidean [ 20], which is obtained with, for example, either Lingoes [ 21] or Cailliez [ 22] correction.

Whereas simple Mantel tests can be used to estimate the strength of the correlation between two matrices of distances, partial Mantel tests enable inclusion of a third matrix that is held constant [ 96].

Interestingly, when examining the temporal correlogram, the relationship was more linear than the one for genetic and Euclidean distances, which might explain that correlations were significant for both continuous and binary matrices of distances.

This library provides Python functions for agglomerative clustering, including the generation of hierarchical clusters from distance matrices, computation of distance matrices from observation vectors, calculation of cluster statistics, linkage cutting to generate flat clusters, and cluster visualization with dendrograms.

An IBS matrix of distance (D) was constructed containing each pair-wise combination of all 392 individuals.

All CG14 predicted genes were used as queries to BLAST them against Nipponbare genes within the S1 regions, to generate a matrix of distance between genes used to draw the relationships between orthologous and paralogous genes (Figure S1).