Table 4 Performance of Reconstruction Error
From: A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction
| Methods | OS | DSS | PFI | DFI |
|---|---|---|---|---|
| NN |
0.7641 (±0.0085) |
0.7698 (±0.0225) |
0.7039 (±0.0134) |
0.6631 (±0.0283) |
| AE |
0.7632 (±0.0058) |
0.7660 (±0.0229) |
0.6999 (±0.0103) |
0.6615 (±0.0340) |
| NN + MO + Ave |
0.7726 (±0.0090) |
0.7768 (±0.0226) |
0.7223 (±0.0157) |
0.6880 (±0.0337) |
| AE + MO + Ave |
0.7682 (±0.0134) |
0.7753 (±0.0291) |
0.7189 (±0.0136) |
0.6942 (±0.0368) |
| NN + MO + Ave + Sup |
0.7750 (±0.0083) |
0.7747 (±0.0315) |
0.7219 (±0.0157) |
0.6859 (±0.0268) |
| AE + MO + Ave + Sup |
0.7721 (±0.0112) |
0.7793 (±0.0252) |
0.7227 (±0.0124) |
0.6960 (±0.0388) |
| NN + MO + Ave + Sup + Spec |
0.7837 (±0.0104) |
0.7854 (±0.0301) |
0.7299 (±0.0097) |
0.7016 (±0.0380) |
| AE + MO + Ave + Sup + Spec |
0.7830 (±0.0081) |
0.7870 (±0.0293) |
0.7325 (±0.0123) |
0.7061 (±0.0393) |