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The significance of a fold change in gene expression was determined using one way analysis of variance (ANOVA) across multiple groups, followed by unpaired two tailed t test to compare each successive time point with 72 h.
ANOVA was performed on samples with multiple groups followed by Tukey's Multiple Comparison test.
Normally distributed values were compared by paired t-test (two groups) or repeated measures ANOVA (multiple groups, followed by Holm-Sidak post hoc test).
Data was analyzed with unpaired two-tailed Student's t-tests for two groups, or one-way ANOVA for multiple groups followed by a Tukey's post hoc analysis.
Not normally distributed values were compared by Mann-Whitney U test (two groups) or ANOVA on Ranks (multiple groups, followed by Dunn's post hoc test).
The non-parametric Kruskal-Wallis test was employed for comparison of multiple groups, followed by the Mann-Whitney U test for comparison between two groups.
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Analysis of Variance (ANOVA) was used for the multiple comparisons among all groups followed by post-hoc tests using LSD method.
Differential expression is determined by computing fold changes and applying a t-test between glioblastoma and control groups, followed by multiple hypotheses correction [ 8].
One-way ANOVA was used for multiple comparisons of more than three groups followed by Scheffe's test.
Student's paired t test was performed for comparison of data of paired samples and ANOVA was used for multiple group comparisons followed by Friedman's post test.
One-way analysis of variance (ANOVA) was used for multiple group comparison followed by the Bonferroni procedure for comparison of means.
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