From: A new mixture model approach to analyzing allelic-loss data using Bayes factors
Scenario 1 (α0 = 0.22, α1 = 0.66) | |||||
---|---|---|---|---|---|
H1/H0 | 2 bin* | 2 bb/bin | 2 bb | 1 bb | 1 bin |
2 bin | 0 | 21 | 75 | 81 | 100 |
2 bb/bin | 10 | 0 | 80 | 80 | 100 |
2 bb | 5 | 0 | 0 | 50 | 98 |
1 bb | 5 | 0 | 0 | 0 | 100 |
1 bin | 0 | 0 | 0 | 0 | 0 |
Scenario 2 (α 0 ~ β (0.26,0.07)) | |||||
H1/H0 | 1 bb | 2 bin | 2 bb/bin | 2 bb | 1 bin |
1 bb | 0 | 22 | 21 | 49 | 75 |
2 bin | 16 | 0 | 24 | 44 | 72 |
2 bb/bin | 7 | 14 | 0 | 26 | 74 |
2 bb | 0 | 12 | 0 | 0 | 68 |
1 bin | 7 | 0 | 7 | 18 | 0 |
Scenario 3 (α0 = 0.22, α1 = (1, 0.80, 0.64, 0.43, 0.43)) | |||||
H1/H0 | 2 bb/bin | 2 bb | 2 bin | 1 bb | 1 bin |
2 bb/bin | 0 | 78 | 79 | 98 | 100 |
2 bb | 1 | 0 | 31 | 100 | 100 |
2 bin | 0 | 28 | 0 | 87 | 100 |
1 bb | 0 | 0 | 5 | 0 | 100 |
1 bin | 0 | 0 | 0 | 0 | 0 |
Scenario 4 (α0 ~ β (0.26, 0.07), α1 = (1, 0.80, 0.64, 0.43, 0.43)) | |||||
H1/H0 | 2 bb | 2 bb/bin | 1 bb | 2 bin | 1 bin |
2 bb | 0 | 35 | 75 | 97 | 100 |
2 bb/bin | 9 | 0 | 54 | 99 | 100 |
1 bb | 0 | 5 | 0 | 72 | 100 |
2 bin | 0 | 0 | 9 | 0 | 100 |
1 bin | 0 | 0 | 0 | 0 | 0 |