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Table 6 Results of Simulation 2 (1): The performances of OGS compared with other approaches under gene-gene interactions within one pathway

From: Overlapping group screening for detection of gene-gene interactions: application to gene expression profiles with survival trait

 

Oracle

Uni. Sel.

Ordinary

Lasso

TS-GSIS

Lasso

OGS

Ridge

OGS

Lasso

censoring rate = 50%

 RMSE.M

0.065

0.067

0.067

0.067

0.069

0.066

 T.model

1

0

0

0.005

0.435

0

 Tint.model

1

0

0.545

0.360

0.435

0.415

 Sen.

1

0.213

0.592

0.660

0.980

0.722

 Spe.

1

1

0.999

0.999

0.760

0.999

 S.model

84

19.275

152.135

151.280

25,704

159.140

 Deviance

− 136.422

−44.754

−73.930

−88.464

−4.454

−100.153

 c-index

0.917

0.766

0.853

0.868

0.583

0.885

censoring rate = 65%

 RMSE.M

0.064

0.067

0.067

0.067

0.069

0.067

 T.model

1

0

0

0

0.560

0.005

 Tint.model

1

0

0.420

0.410

0.560

0.505

 Sen.

1

0.204

0.511

0.600

0.984

0.660

 Spe.

1

1

0.999

0.999

0.761

0.999

 S.model

84

19.095

141.940

141.745

25,586

149.070

 Deviance

−128.513

−39.108

−59.558

−74.966

− 12.148

−85.540

 c-index

0.925

0.769

0.842

0.860

0.605

0.877