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While analyzing between Control group (Group A) with other groups (Group B, Group C, Group D) PMR was significantly higher in Group A versus Group B (p = 0.014), versus Group C (p <.0001) and versus Group D (p <.0001).
Moreover, we were also able to detect 192 common deletion polymorphisms by pairwise comparison, analyzing between reference and target samples.
In comparison, the number of differentially expressed genes in inoculated cells between time points was higher than between inoculated and control cells at given time points suggesting that when analyzing between time points, a large proportion of the differentially expressed genes were affected by cell culture or by cumulative effects of cell culture and inoculation.
We identified far more p-values at a given cutoff for the D. simulans vs. other species indicating that the variation we are analyzing between species is far greater than the variation we observed within the 10 combined-genotypes of D. simulans (6825 significant tests as compared to 5291 in the random assignment at 0.05, 2887 significant compared to 2022 random at 0.001).
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Additionally, using similar implants allowed us to analyze between-sex differences within treatments.
Chi square analysis and Mann–Whitney tests are used to analyze between-group differences.
The authors employed longitudinal data (1999 2001) on pneumococcal carriage in Danish day-care children to analyze between-serotype competition.
Chi square analysis, Kruskal-Wallis-Test and independent samples t tests are used to analyze between-group differences.
Alistair Dove, a senior research associate at the Cornell College of Veterinary Medicine who runs a shellfish pathology lab at Stony Brook University, identified a fatal disease called calcinosis in 20 lobsters analyzed between August and October of last year.
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