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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)