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In addition, the 1000 Genomes Project cohort comprised individuals from different European regions and, therefore, effects due to ethnic differences between study groups are possible [17].
Data presented here and elsewhere [14] clearly demonstrate that whether statistically significant differences between study groups are present or absent can depend on which reference gene is used for normalization even when variability in reference gene expression is marginal.
For a study as such where small differences between study groups are observed, it is essential to accurately collect data.
We have devised a straightforward visualization scheme for mapping global transcriptional changes for individual diseases on a modular basis.Briefly, differences in expression levels between study groups are displayed for each module on a grid.
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Differences between study groups were tested with one-way analysis of variance or Kruskal Wallis as appropriate.
Difference in parameters between study groups was tested thanks to Mann-Whitney-U tests and deemed significant for p-values smaller than 5%.
Results No significant differences between study groups were observed with respect to muscle mass and systolic parameters, such as ejection fraction, fractional shortening, and peak systolic velocity.
The greater effect on malaria incidence observed in the intervention group occurred mainly in the high endemicity stratum ("stratum 1"), while no difference between study groups was observed in the low endemicity stratum ("stratum 2"; Figure 2.2).
Comparisons between study groups were performed with the use of the Mann-Whitney U test.
Continuoues variables between study groups were compared using the T-test (two-sided).
Comparisons between study groups were made by using Student's t test for independency.
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