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Disease-free survival from 410 cases of validation dataset was displayed in Figures 1(a) and 1(b).
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The results of different CENI models on the MemeTracker dataset are shown in Fig. 5, and the results on the Sina Weibo dataset are displayed in Fig. 6.
Summary statistics for the entire dataset are displayed in Table 2, Figure 2 and Dataset S3).
The distinct expression patterns of the first step and second step classifiers in the NCI dataset are displayed in Figures 3 and 4 respectively.
Survival plots generated from each study's dataset are displayed in corresponding sections.
Below the summary of results table, detailed results for each dataset are displayed.
In Figure 2A the average performance of all methods on the ALL dataset is displayed.
The initial dataset is displayed in an n-dimensional space, n being the number of defined variables.
The acquisition setup for each dataset is listed in Table 1, and representative regions of each dataset are displayed in Figure 1.
The characteristics of this final dataset are displayed in Table 1.> -wrap-foot> Abbreviations: PBL peripheral blood leukocytes, n number, SD standard deviation.
The genome dataset is displayed on two levels (gene and transcript levels) as one gene may have one or more corresponding transcripts.
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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