Table 1.
Performance measures shown include information gain (IG) and classification accuracy. The first P-value shown is derived from a standard permutation test although the second comes from the explicit test of epistasis
| Model | Functions | IG (TF1) | IG (TF2) | IG (Enhancer) | IG (TF1, TF2, Enhancer) | Accuracy | P-value | P-value |
|---|---|---|---|---|---|---|---|---|
| 1 | ADD, ADD | 0.079 | 0.067 | 0.081 | 0.002 | 0.732 | <0.001 | 0.06 |
| 2 | ADD, MULT | 0.303 | 0.103 | 0.102 | 0 | 0.822 | <0.001 | 0.043 |
| 3 | MULT, MULT | 0.137 | 0.134 | 0.148 | 0.002 | 0.817 | <0.001 | <0.001 |
| 4 | XOR, XOR | 0.006 | 0.003 | 0.008 | 0.033 | 0.644 | <0.001 | <0.001 |
| 5 | MOD2, XOR | 0.002 | 0 | 0.001 | 0.046 | 0.621 | <0.001 | <0.001 |
| 6 | BITX, XOR | 0.003 | 0.001 | 0.001 | 0.04 | 0.644 | <0.001 | <0.001 |
| 7 | BITX, MOD2 | 0 | 0 | 0.002 | 0.058 | 0.636 | <0.001 | <0.001 |
| 8 | CHS, BITA | 0.146 | 0.002 | 0.001 | 0.16 | 0.7875 | <0.001 | <0.001 |