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Multiple comparison post-tests between groups were conducted by using Bonferroni's test.
One or two-way ANOVA with Bonferroni's multiple comparison post-tests were performed.
One-way ANOVA with Tukey's multiple comparison post-tests was used for the analysis of gene expression changes.
Values were compared using unpaired Student's t-tests or 1-way ANOVA with Dunnett's multiple comparison post-tests, as appropriate.
Treatment groups were compared with the control group using one way- ANOVA and Dunnett's Multiple Comparison post-tests.
A significant effect of genotype was found using GLM ANOVA, followed by Tukey Kramer multiple comparison post-tests.
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Statistical differences between multiple groups were assessed by one-way ANOVA and adjusted by Games-Howell multiple comparisons post-tests using SPSS (version 20).
All quantitative assays were analyzed using Prism 5.0 (GraphPad software, La Jolla, CA, USA) with one-way analysis of variance followed by Newman-Keuls multiple comparisons post-tests.
Differences between different groups were assessed using ANOVA with subsequent Student-Newman-Keuls multiple comparisons post-tests if the p value for ANOVA was significant.
Statistical analysis of mean values was carried out using ANOVA and Friedman Test (only for clinical scores) or Bonferroni's multiple comparison post test.
Weight loss and blood cell counts were analyzed with either one-way analysis of variance (ANOVA) or two-way ANOVA with Bonferroni multiple comparison post tests.
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