Table 2.
Comparison of AUC for GEBN and logistic regression
Functional SNPs in Case data | Functional SNPs in Control data | Weight (W) | MAX | Regression | GENN | GEBN | ||||
---|---|---|---|---|---|---|---|---|---|---|
100 | 100 | 500 | 100 | 500 | 100 | 500 | ||||
Main effect | SNP A | SNP A | 0.1 | 55 | 52 | 51 | 54 | 54 | 53 | 52 |
0.5 | 71 | 71 | 64 | 70 | 71 | 71 | 67 | |||
0.9 | 88 | 88 | 72 | 88 | 88 | 88 | 87 | |||
SNP A, B, C, D | SNP A, B, C, D | 0.1 | 61 | 57 | 53 | 54 | 54 | 58 | 54 | |
0.5 | 90 | 89 | 72 | 73 | 73 | 89 | 87 | |||
0.9 | 99 | 96 | 87 | 98 | 98 | 99 | 99 | |||
Interaction effect | SNP A * SNP B | None | 0.1 | 53 | 50 | 50 | 50 | 50 | 50 | 50 |
0.5 | 67 | 50 | 49 | 56 | 53 | 65 | 60 | |||
0.9 | 89 | 50 | 50 | 60 | 59 | 80 | 77 | |||
SNP A * SNP B | SNP W * SNP X | 0.1 | 56 | 50 | 50 | 50 | 50 | 52 | 51 | |
SNP C * SNP D | SNP Y * SNP Z | 0.5 | 82 | 50 | 50 | 57 | 55 | 81 | 67 | |
0.9 | 97 | 49 | 50 | 62 | 60 | 97 | 89 |