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) |