To determine if there was a statistically significant association between the assigned cluster ID (SAR) and the hit calling annotation within the cluster, we performed Fisher's exact test. Fisher's exact test is a statistical significance test developed by Ronald Fisher, a renowned statistician . It is widely used for the analysis of contingency tables, particularly for small sample sizes, but is also applicable to datasets of all sizes. Fisher's exact test falls under the category of exact tests, as it calculates the exact significance of the deviation from a null hypothesis, providing a precise p-value. This characteristic distinguishes Fisher's exact test from other tests that rely on approximations, which are accurate only when the sample size approaches infinity. The equation for Fisher's exact test is as follows: