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Since signals between species and between chips cannot be compared, we used the Affymetrix Present Absent calls to accomplish this after discussion with Affymetrix Technical Support.
Due to the differences in the length of the proteins compared, we used the shorter BSF as the reference sequence against which the three other sequences were aligned and compared (Fig. 17B).
When both samples were compared we used the combined sample (N = 1,803).
If multiple groups were compared, we used Bonferroni correction to protect against Type I errors.
P-values were determined using Mann–Whitney test, and when multiple groups had to be compared, we used one-way anova and post-hoc Tukey's for multiple comparisons.
Because of the small sample sizes of each subgroup being compared, we used Wilcoxon Rank Sum and Kruskal-Wallis tests to determine absolute differences between undergraduate training groups and non-parametric pairwise comparisons to determine directionality.
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Throughout the analysis, whenever multiple distributions are compared we use a Bonferroni correction for multiple testing.
To compare, we will use the fertility data of Ireland in the same years.
To compare means we used t Student and Welch robust test.
To compare proportions, we used the χ test.
To compare means, we used the Mann-Whitney U test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com