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The summary of both datasets is shown in Table 1.
The codon usage and RSCU of both datasets is shown.
The distributions of TGs in men and women in the full dataset are shown in Figs. 2 and 3; the prevalence of hypertriglyceridemia across both datasets is shown in Table 1.
Similar(57)
Validation curves on both datasets are shown in Fig. 7.
The whole networks for both datasets are shown in Fig. 4.
The results of running the simulation using the contextual detection with the content detection for both datasets are shown in Figure 5.
The SNPs that are common to both datasets are shown in the shaded area.
The ROCs for the predictions on both datasets are shown in Figure 2.
The number of neighbor pairs for both datasets are shown in Supplementary Figure S1.
The association between the presence of merged TF binding and strength of enhancement for both datasets was shown in Figure 5 (effects for individual TF are also shown in Additional file 2: Figure S7).
The resulting graphs of both datasets are shown in Figures 6 and 7. Edge colourations illustrate heavily or less weighted edge connections which arise from high common occurrences of the edge ending source and target motif.
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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