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Alignment percentages of both datasets are reported in Table 2.
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The experiments and tests on the different datasets are reported in Sect. 5.
Experiments of test datasets are reported in "Results and discussion" section while the conclusions and future developments are discussed in "Conclusions" section.
The p-values of the log-rank tests for non-breast datasets are reported in Table S2.
The complete list of conserved motifs and their distribution over the different datasets are reported in Table S5.
The numbers of complete datasets are reported for the multivariable analyses.
The correlations for all 17 datasets are reported in Table 2.
The average predictive accuracies of the 12 datasets are reported in the last three rows.
Additional information on these benchmark datasets and results and details on two other datasets are reported in Supplementary Materials.
The runtimes for the different datasets are reported in Table 2, while the throughput is shown in Figure 1.
For each parameter its mean and the mean of its standard errors (SE) over the five imputed datasets are reported.
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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