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We determined significant differences between Kaplan Meier survival curves using Mantel Cox log-rank tests in Prism 6.0 and used Kruskal Wallis with Dunn's multiple comparison tests to test for significant differences in mean life span, mean fecundity and mean volume.
For comparing ancestor indexes between stages, we constructed a 2 × 2 contingency table and determined significant differences between the ratios (e.g. non-redundant Vertebrate gene numbers expressed at stages k or k+1 and non-redundant total genes expressed at stages k or k+1) by Fisher's exact test (two-tailed).
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One-way analysis of variance (F-test with p < 0.05) is performed to determine significant differences between different treatments.
We used one-way ANOVA to determine significant differences between the different sets of lineage-specific genes and the ECs.
Analysis of variance (ANOVA) and Tukey's test were used to determine significant differences between the different conditions.
Data was analyzed using analysis of variance (ANOVA) to determine significant differences between plating different admixed proportions of sorted cells.
We used one-way ANOVA to determine significant differences between the different sets of LSGs and the ECs.
A χ test of significance was used to determine significant differences between cross-tabulated proportions.
The UniFrac Significance test option with 100 permutations was used to determine significant differences between each pair of samples on the basis of phylogenetic information.
We were able to determine significant differences between genotypes in renal scores for 3 of 10 different types of graded renal lesions.
Mann-Whitney and Chi-square tests were used to determine significant differences between groups.
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