Table 3.
Average allelic imputation error rate (%) for each of six chromosomes and averaged across chromosomes
| BTA |
Dataset/Method |
||||||
|---|---|---|---|---|---|---|---|
|
Dataset 1 |
Dataset 2 |
Dataset 3 |
|||||
| A | B | C | D | C | A | C | |
| 1 |
1.82 |
0.89 |
0.72 |
0.76 |
0.47 |
1.80 |
0.70 |
| 6 |
1.73 |
0.81 |
0.61 |
0.65 |
0.38 |
1.71 |
0.58 |
| 11 |
2.05 |
0.89 |
0.66 |
0.71 |
0.40 |
1.98 |
0.61 |
| 14 |
1.82 |
0.76 |
0.56 |
0.61 |
0.36 |
1.76 |
0.54 |
| 20 |
1.94 |
0.86 |
0.68 |
0.71 |
0.35 |
1.88 |
0.64 |
| 29 |
2.41 |
1.05 |
0.82 |
0.84 |
0.52 |
2.38 |
0.78 |
| Average | 1.91 | 0.87 | 0.67 | 0.71 | 0.41 | 1.87 | 0.64 |
Results are presented for four methods and three datasets: method A is a combination of Beagle 2.1.3 and DAGPHASE with scale and shift parameters equal to 2.0 and 0.1; method B is the same as method A, but with scale and shift parameters equal to 1.0 and 0.0; method C is Beagle version 3.3.0; method D is DAGPHASE using DAG from method C.