Table 7 Summary of results of the HyperLasso for the simulated data with main and epistatic effects
From: Empirical Bayesian LASSO-logistic regression for multiple binary trait locus mapping
Parameters | True/False positive effectsa | ||
|---|---|---|---|
Shapea | Inverse scale b | Type I error α | |
0.1 | 8.5 × 10-4 | 0.05 | 17/18 |
0.05 | 7.6 × 10-4 | 19/18 | |
0.01 | 6.8 × 10-4 | 19/19 | |
0.1 | 4.9 × 10-4 | 0.01 | 17/7b |
0.05 | 4.4 × 10-4 | 17/8 | |
0.01 | 3.9 × 10-4 | 17/8 | |
0.1 | 1.3 × 10-4 |
| 5/0 |
0.05 | 1.1 × 10-4 | 5/0 | |
0.01 | 1.0 × 10-4 | 8/0 | |
0.1 | 1.1 × 10-4 |
| 5/0 |
0.05 | 1.0 × 10-4 | 5/0 | |
0.01 | 0.9 × 10-4 |  | 5/0 |