Table 11.
Methods | # of top genes | True model: PPLS | True model: LASSO | ||||||||||
Mean | 0% | 25% | 50% | 75% | 100% | Mean | 0% | 25% | 50% | 75% | 100% | ||
PPLS | 50 | 2.54 | 0 | 2 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
100 | 2.6 | 1 | 1.25 | 2 | 3 | 7 | 1 | 1 | 1 | 1 | 1 | 1 | |
400 | 2.58 | 0 | 2 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | |
1600 | 2.62 | 0 | 2 | 2 | 3.75 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | |
6400 | 2.6 | 0 | 2 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | |
PLS | 50 | 2.58 | 0 | 2 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
100 | 2.6 | 0 | 2 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | |
400 | 2.56 | 0 | 2 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | |
1600 | 2.52 | 0 | 2 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | |
6400 | 2.54 | 0 | 2 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | |
LASSO | 50 | 2.48 | 0 | 2 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
100 | 2.48 | 0 | 2 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | |
400 | 2.84 | 0 | 2 | 2 | 3 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | |
1600 | 3.48 | 0 | 2 | 2 | 4.75 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | |
6400 | 3.48 | 0 | 2 | 2 | 4.75 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | |
SC | 50 | 2.76 | 1 | 2 | 2 | 3 | 7 | 1 | 1 | 1 | 1 | 1 | 1 |
100 | 2.74 | 1 | 2 | 2 | 3 | 7 | 1 | 1 | 1 | 1 | 1 | 1 | |
400 | 2.96 | 0 | 2 | 3 | 3.75 | 7 | 0.28 | 0 | 0 | 0 | 1 | 1 | |
1600 | 3.58 | 0 | 2 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | |
6400 | 4.08 | 1 | 3 | 4 | 5 | 10 | 1 | 1 | 1 | 1 | 1 | 1 | |
RF | 50 | 2.48 | 0 | 2 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
100 | 2.48 | 0 | 2 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | |
400 | 2.48 | 0 | 2 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | |
1600 | 2.48 | 0 | 2 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | |
6400 | 2.48 | 0 | 2 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |