Table 5 Eight effects estimated with the EBLASSO algorithm for the real data.
From: Fast empirical Bayesian LASSO for multiple quantitative trait locus mapping
Markers |
|
|
|---|---|---|
(446,446) | 1.4173(0.0432) | 0.7639 |
(187,187) | 0.2624(0.0421) | 0.0262 |
(77,77) | 0.1881(0.0413) | 0.0132 |
(238,238) | -0.1742(0.0427) | 0.0101 |
(197,483) | 0.1748(0.0405) | 0.0117 |
(37,130) | 0.1557(0.0422) | 0.0085 |
(53,270) | -0.1649(0.0452) | 0.0081 |
(149,175) | 0.1697(0.0464) | 0.0078 |
| 5.7037 | Â |
| 0.2699 | Â |
| Â | 0.8495 |
- Eights effects were detected with all of the following parameters: a = b = 0.05, 0.07, 0.1, 0.5, 1;
, 
and 
listed here were obtained with a = b = 0.05.
, 
and