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The similarity is particularly high for the hospital data and, even for the lower value obtained for the high school data, the matrices displayed in the Additional file 1 show that the overall structure in classes and groups of classes can be inferred from the co-presence data alone.
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The matrix displayed in the heat map view contains property values.
This approach defines the STRIKE matrix, displayed in Figure 1.
The 13 morphological characters defined for the PPG and MG are summarized in the data matrix displayed in Table S2 [see Additional file 1].
The specific experimental design that was used to generate the present fitness dataset allows us to represent the genotypes in the matrix displayed in Table 1.
Figure 3(a) shows the GEMS 'channel selection' window, comprising an example electrode configuration matrix displayed in the form of buttons.
The cross-correlation matrix displayed in Figure 3 shows that weak pair-wise correlation exists between the risk factor (exposure and demographic) and outcome (symptom, clinical and diagnostic) variables.
Once fibres were submerged in PBS, the matrices displayed diverse behaviour depending on the pH of the solution.
Correlation matrices are displayed in Table 6.
The obtained LFP and firing rate matrices are displayed in pseudocolor plots (Fig. 3) as a function of time (x-axis, representing the time relative to fixation-onset) and saccade duration (y-axis, representing saccade duration).
Sums of blocks from these matrices are displayed in Table 4, Table 5 and Table 6, respectively.> -wrap-foot>> -wrap-foot>> -wrap-foot>> -wrap-foot>> -wrap-foot>> -wrap-foot> Entries from the pairwise gene expression spreadsheet (Additional file 3) that start with expression only in the central domain/endoderm are included in this table.
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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