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Two-sample t test was used to compare value of gene expression in primary tumors and lymph node metastasis.
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Two-tailed student's t-test was also used to compare values of BMI, Glycemia and Ketonemia before and after the in-ketosis dive.
When a significant interannual variability was detected, the Wilcoxon test was used a posteriori to compare values of two different years.
For instance, one might want to view differences in k2a between scans, but it makes no sense to compare values of k2 or R1 with k2a.
An experiment with 32 participants was conducted to compare values of these calculated variables with perceived openness.
Hence, one cannot compare values of closeness centrality from networks of different sizes.
The Wilcoxon test was used to compare values of continuous variables at different time-points.
A paired t-test was used to compare values of continuous normally distributed variables with baseline values, and an unpaired t-test was used to compare values of continuous variables between groups.
The Kruskal-Wallis test was used to compare values of biomarkers in the various classes of arterial involvement [ 25].
For spectrophotometry data, repeated-measures one-way ANOVA was used to compare values of measurements between groups.
Thus, we can thus compare values of a between genomes to test for genome-scale differences in duplication propensities.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com