Sentence examples for for multiple comparisons were calculated using from inspiring English sources

Counts were normalized by estimating the tagwise dispersion, and significance was calculated used the program edgeR 1.6.0 (Robinson et al. 2010) in R. FDR corrections for multiple comparisons were calculated using the Benjamini Hochberg method (Benjamini and Hochberg 1995).

Pearson correlation coefficients with Bonferroni's corrections for multiple comparisons were calculated.

Statistical significance comparisons between multiple samples were calculated using a 1-way ANOVA using the Dunnett's post-test.

In these cases, P values for comparing groups were calculated using Dunn's multiple comparisons as a nonparametric post-test.

The p values for each pathway were calculated using hypergeometric over representation approach with Bonferroni's Multiple Comparisons Test.

Statistics were calculated using one-way ANOVA for multiple comparisons.

Differences between groups were calculated using Welch Anova and multiple comparisons were performed using Bonferroni Correction.

Statistical differences were calculated using Student's t-test or ANOVA for multiple comparisons.

The p values were calculated using Kruskal Wallis test (for comparison of multiple groups).

All P values were calculated using Student's t-test for comparison between two samples only, and ANOVA followed by Bonferroni's post hoc test for multiple comparisons.

P values were calculated using one-way ANOVA with Tukey's multiple comparison test (a,b,e) and two-sided Welch's t-test (c,d).