Table 4 DAPxDAF’s power to identify the selection-driving SNP as the top scoring one in a genomic window of 1000 SNPs across different values of x parameter
From: FineMAV: prioritizing candidate genetic variants driving local adaptations in human populations
Scenario | x = 1 | x = 1.5 | x = 2 | x = 2.5 | x = 3 | x = 3.5 | x = 4 |
|---|---|---|---|---|---|---|---|
Empirical data | 0 | 0.75 | 1 | 1 | 1 | 1 | 1 |
Simulation s = 0.007 | 0.08 | 0.39 | 0.44 | 0.43 | 0.44 | 0.44 | 0.45 |
Simulation s = 0.01 | 0.41 | 0.84 | 0.84 | 0.84 | 0.84 | 0.84 | 0.85 |