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Table 3 The |log10(P)| values produced by different methods on breast cancer datasets

From: An uncertainty-based interpretable deep learning framework for predicting breast cancer outcome

Dataset

IPF-lasso

EXSA

Deep-surv

DCAP

MTC

UISNet

BRCA

0.237

(± 0.254)

0.622

(± 0.502)

0.870

(± 0.425)

0.790

(± 0.757)

1.174

(± 0.412)

1.156

(± 0.461)

GSE2990

0.274

(± 0.272)

0.455

(± 0.794)

0.348

(± 0.239)

0.455

(± 0.206)

0.303

(± 0.267)

0.410

(± 0.314)

GSE9195

0.701

(± 0.467)

0.535

(± 0.560)

0.535

(± 0.560)

0.562

(± 0.551)

1.063

(± 0.120)

0.719

(± 0.494)

GSE11121

0.855

(± 0.896)

0.585

(± 0.693)

0.621

(± 0.510)

0.871

(± 0.912)

0.976

(± 0.849)

1.288

(± 0.761)

GSE17705

0.845

(± 0.678)

0.324

(± 0.333)

0.730

(± 0.323)

0.771

(± 0.262)

1.018

(± 0.756)

1.265

(± 0.868)

GSE19615

1.167

(± 1.208)

0.771

(± 0.509)

1.986

(± 1.605)

1.156

(± 0.637)

2.540

(± 1.043)

2.035

(± 1.462)

GSE25066

2.046

(± 2.032)

1.421

(± 0.356)

2.362

(± 2.082)

2.622

(± 1.825)

1.277

(± 0.823)

2.813

(± 1.514)

BRCA_all

2.163

(± 1.050)

2.071

(± 2.000)

1.944

(± 1.227)

2.728

(± 1.562)

2.851

(± 1.435)

3.174

(± 0.821)

Average

1.036

0.848

1.175

1.244

1.400

1.608