Table 2.
Comparison of regression performances on top risk SNP APOE rs429358 of the competing methods in terms of Root Mean Square Error (RMSE) and Correlation Coefficient (CC)
| Method | RMSE(mean±std) | CC(mean±std) | ||
|---|---|---|---|---|
|
|
||||
| train | test | train | test | |
| SM(VBM) | 0.8628±0.0408 | 0.8723±0.0489 | 0.0658±0.0456 | 0.0184±0.0666 |
| SM(FDG) | 0.8817±0.1061 | 0.9062±0.1668 | 0.0253±0.0679 | 0.0316±0.0941 |
| SM(AV45) | 0.8940±0.0095 | 0.8963±0.0589 | 0.0075±0.0171 | 0.0264±0.0835 |
| DGSM(VBM) | 0.8231±0.0063 | 0.8234±0.0261 | 0.2145±0.0821 | 0.1565±0.0846 |
| DGSM(FDG) | 0.8238±0.0064 | 0.8237±0.0259 | 0.2206±0.0641 | 0.1624±0.0560 |
| DGSM(AV45) | 0.8203±0.0087 | 0.8254±0.0259 | 0.2535±0.0749 | 0.1725±0.0596 |
| CM | 0.9276±0.1485 | 0.9361±0.1560 | 0.0242±0.0556 | 0.0436±0.0727 |
| DGCM | 0.8235±0.0062 | 0.8236±0.0261 | 0.2383±0.0633 | 0.1918±0.1056 |
| MM(VBM) | 0.7644±0.0071 | 0.8752±0.0257 | 0.4370±0.0190 | 0.2107±0.0698 |
| MM(FDG) | 0.7679±0.0090 | 0.8836±0.0265 | 0.4238±0.0172 | 0.1695±0.0527 |
| MM(AV45) | 0.7606±0.0071 | 0.8730±0.0271 | 0.4518±0.0161 | 0.2286±0.0677 |
| DGMM(VBM) | 0.7886±0.0079 | 0.8214±0.0314 | 0.3688±0.0207 | 0.2484±0.0570 |
| DGMM(FDG) | 0.7901±0.0087 | 0.8229±0.0262 | 0.3605±0.0195 | 0.2345±0.0676 |
| DGMM(AV45) | 0.7877±0.0085 | 0.8201±0.0322 | 0.3805±0.0176 | 0.2545±0.0572 |