From: Fast empirical Bayesian LASSO for multiple quantitative trait locus mapping
Algorithm | Parameters◇ | PE ± STE* | Number of effects†‡ |
| CPU time (sec) |
---|---|---|---|---|---|
(0.001, 0.001) | 11.52 ± 0.5677 | 14/0 | 11.1 | 1.2 | |
(0.01, 0.01) | 11.52 ± 0.578 | 16/0 | 10.53 | 1.3 | |
(0.05, 0.05) | 11.36 ± 0.6088 | 17/0 | 10.32 | 1.1 | |
(0.1, 0.1) | 11.23 ± 0.5571 | 17/0 | 10.32 | 1.1 | |
(0.5, 0.5) | 11.32 ± 0.5937 | 17/0 | 10.34 | 1.1 | |
EBLASSO | (1, 1) | 11.4 ± 0.5929 | 16/0 | 10.64 | 1.1 |
(0.5, 0.1) | 11.57 ± 0.5593 | 15/0 | 10.83 | 1.3 | |
(-0.5, 0.1) | 10.87 ± 0.5599 | 17/0 | 10.31 | 1.6 | |
(-0.75, 0.1) | 10.78 ± 0.5646 | 20/5 | 9.52 | 1.5 | |
(-0.95, 0.1) | 11.09 ± 0.5045 | 22/20 | 8.71 | 1.4 | |
(-1, 0.0001) | 17.73 ± 2.0244 | 9/0 | 16.07 | 1491.9 | |
(-1, 0.0005) | 15.81 ± 2.5732 | 16/0 | 11.66 | 1676.0 | |
EB | (-1, 0.001) | 12.21 ± 1.7635 | 17/2 | 10.65 | 1657.9 |
(-1, 0.01) | 10.69 ± 0.9903 | 19/4 | 9.05 | 1954.9 | |
(-1, 0.1) | 11.63 ± 0.5743 | 20/20 | 7.29 | 2222.7 | |
RVM | - | - | 20/42 | 7.81 | 268.7 |
0.1347 | 10.77 ± 0.4583 | 16/27 | 9.47 | 0.7 | |
0.0850 | 10.52 ± 0.4442 | 20/49 | 8.89 | 0.7 | |
LASSO | 0.0675 | 10.50 ± 0.5248 | 20/48 | 8.63 | 0.7 |
0.0536 | 10.52 ± 0.4382 | 19/35 | 8.28 | 0.7 | |
0.0338 | 10.59 ± 0.4434 | 17/2 | 7.35 | 0.7 |