1-way ANOVA was used to determine statistical significance among samples (GraphPad InStat Version 3.06).
Statistical significance between samples was determined by one-way analysis of variance (ANOVA) with Bonferroni post-test analysis, or by two-tailed t test.
Correlation significance between samples was calculated using Pearson's correlation.
The Kruskal-Wallis test (p < 0.05) was applied to test the significance between samples.
To determine significance between samples cryopreserved either through NS or PS, a Welch's t-test was performed.
For (A – C ) ANOVA analysis was used to determine significance of samples with Bonferroni's post-test to determine significance between groups.
Statistical significance between samples in the presence or absence of ligands was determined by using the Student's t test or analysis of variance with p < 0.05.
To determine significance between samples experiencing the same conditions during cryopreservation at different time points, a Student's t-test was performed.
However, entropy does not directly reflect significance, as samples with vastly different levels of evidence (e.g. read coverage) may lead to similar entropy values.
The Mann–Whitney test was used to determine statistical significance when samples had a clear difference in S.D., otherwise, an unpaired two-tailed t-test was performed.
