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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)