Table 4.
Summary of the results of the EBLASSO algorithm for the real data
| a = b | PE ± STE* | Number of effects†‡ |  |
|---|---|---|---|
| 0.001 | 0.70 ± 0.21 | 1/1/1 | 0.6706 |
| 0.01 | 0.79 ± 0.31 | 2/2/2 | 0.5996 |
| 0.05 | 0.70 ± 0.21 | 11/11/11 | 0.2699 |
| 0.07 | 0.96 ± 0.30 | 10/15/15 | 0.2104 |
| 0.1 | 1.20 ± 0.18 | 13/128/132 | 2.59E-06 |
| 0.5 | 1.21 ± 0.09 | 9/112/122 | 2.59E-06 |
| 1 | 1.25 ± 0.17 | 8/115/132 | 2.59E-06 |
*The average PE and the standard error were obtained from five-fold cross validation.
†The number of effects and residual variance were obtained using all 150 samples not from cross validation.
‡The first number is the number of effects with a p-value ≤ 0.05 and proportion of variance ≥ 0.5%; the second number is the number of effects with a p-value ≤ 0.05; the third number is the total number of non-zero effects reported by the program.