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Table 7 Results of Simulation 2 (3): The performances of OGS compared with other approaches under gene-gene interactions across two pathways

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

0.064

0.067

0.067

0.067

0.069

0.067

 T.model

1

0

0

0

0.172

0

 Tint.model

1

0

0.098

0.064

0.172

0.078

 Sen.

1

0.200

0.504

0.586

0.977

0.659

 Spe.

1

1

0.999

0.999

0.767

0.999

 S.model

84

18.529

137.623

140.039

24,970

145.250

 Deviance

−136.378

−38.797

−57.657

−71.756

−11.113

−83.105

 c-index

0.928

0.765

0.838

0.856

0.600

0.875

censoring rate = 65%

 RMSE.M

0.063

0.067

0.068

0.067

0.069

0.067

 T.model

1

0

0

0

0.279

0

 Tint.model

1

0

0.051

0.051

0.279

0.084

 Sen.

1

0.180

0.435

0.519

0.982

0.573

 Spe.

1

1

0.999

0.999

0.756

0.999

 S.model

84

17.284

127.991

130.405

26,132

137.153

 Deviance

− 124.043

−30.843

−44.032

−55.482

−5.697

−62.328

 c-index

0.936

0.761

0.822

0.845

0.598

0.860