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The statistical significance of gene expression differences between different groups of cells (hSSCs, hESCs, and htFbs) was evaluated by different statistical tests: F-test, t-test, Pearson correlation coefficient, Wilcoxon test, and Mann-Whitney test.
The accuracies of the models were verified by different statistical tests.
Possible effects of maternal or neonatal parameters were analyzed by different statistical tests.
In addition, genes with higher fold changes were more likely to be selected by different statistical tests, giving more confidence to their selection.
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We demonstrate - by means of three different statistical tests - that ranks derived from random texts and ranks derived from real texts are statistically inconsistent with the parameters employed to argue for such a good fit, even when the parameters are inferred from the target real text.
The development of a method for water content analysis in soft brown sugar is carried out for the first time by TG/DTA with application of different statistical tests.
The dataset was analyzed using different statistical tests.
p: probability levels for the different statistical tests.
The data were analyzed using different statistical tests such as Chi-Square test and analysis of variance (ANOVA) followed by post hoc least significance difference.
Each data set uses a different statistical test.
The significance of the observed patterns has been tested by different statistical methods (see Methods) with similar results.
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CEO of Professional Science Editing for Scientists @ prosciediting.com