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Exact(14)
Pearson correlation coefficient between samples was calculated by R scripts (3.2.3).
Using Dice's coefficient and the UPGMA clustering method, a dendrogram of genetic similarity between samples was calculated.
The similarity between samples was calculated using the angles only between two axes (not including intensity information; Figure 1b).
The similarity between samples was calculated using the Chao-Jaccard abundance-based similarity index for trees, and the Chao-Jaccard incidence-based similarity index for ants.
Correlation significance between samples was calculated using Pearson's correlation.
The significance of the differences between samples was calculated using the Mann–Whitney U test.
Similar(46)
Pair-wise Fst values between samples were calculated using EIGENSOFT.
Significant differences between samples were calculated by comparison of means using the Aspin−Welch test.
Differences (n-fold) between samples were calculated using the standard-curve method and the 2-ΔCt method [65].
2. Correlation coefficients between samples were calculated and visualized using dChip software across the 154 genes that are significantly associated with aging in all three species.
Fold changes of expression levels between samples were calculated.
More suggestions(17)
between trials was calculated
between samples was computed
between samples was estimated
between samples was analyzed
between samples was examined
between uniques was calculated
between bipartitions was calculated
between clades was calculated
between sites was calculated
between samples was made
between columns was calculated
between samples was presented
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between samples was prevented
between studies was calculated
between experts was calculated
between reactions was calculated
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