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Dotplot similarity matrices were plotted with JDotter [ 48].
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Distance matrices based on allele sharing were constructed for all pairs of individuals using either SSR data or total SNP data, and the relationship between the distance matrices was plotted (Figure 4).
A regression is calculated from the ordered pairs of distances when two matrices are plotted against each other and simple statistics such as the sums of the distances are displayed.
The compensated CV values of the matrix were plotted as density curves (normalised CV distributions) with an area under the curve (AUC) of 100%, for each subject.
Log likelihood scores of the trees in all runs for each matrix were plotted against generations.
Heatmaps of the correlation matrix were plotted by the "heatmap.2" function of the gplots package in R software (https://cran.r-project.org/web/packages/gplots/).org/web/packages/gplots/
Moreover, FIPA matrix was plotted to determine the critical GSCP as enablers of environmental performance enhancement.
In Fig. 4, the worst-case SINR behavior considering the non-robust and robust design of waveform covariance matrix is plotted versus uncertain parameter ε.
In Fig. 2D, the log-exchangeabilities of the codon pairs requiring triple nucleotide changes in the 1-PAM KHG matrix are plotted against their log-odds of the 1-PAM KHG matrix.
The column sums of the resultant X matrix are plotted in Figure 1.
This matrix was plotted in a two-dimensional principal coordinate graph.
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