Explore this artwork and its significance using the British Red Cross's thought provoking activity Burnt Out.
Figure 22: Fraction of simulated sources detected as variable at 99% significance, using the Kuiper test.
Pair-wise comparisons were tested for significance using Welch's t test corrected by the Benjamini-Hochberg FDR method.
Figure 21: Fraction of simulated sources detected as variable at 99% significance, using the Kolmogorov-Smirnov test.
Figure 23: Fraction of simulated sources detected as variable at 99% significance, using the Gregory-Loredo test.
The associations between categorical variables were tested for statistical significance using the chi-square test to compare multiple conditions or using Fisher's exact tests to compare two conditions.
Pairwise DST statistic estimates and their significance using 1,000 bootstrap replicates were obtained using the DEMETICS46 package in R software47.
Continuous variables were expressed as means±standard deviation; differences were assessed for significance using Student's t-test or the Mann–Whitney test.
For genomic interval overlaps and genomic rearrangement overlaps, we modified the LOLA71 package to perform a two-sided Fisher's exact test and reports significance using 'BH' FDR value.
Regression analyses were tested for significance using Pearson's correlation.
