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Table 8 Results of Simulation 2 (3): The performances of OGS compared with other approaches under coexistence of within- and between-pathway gene-gene interactions

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

0.068

0.071

0.071

0.070

0.072

0,070

 T.model

1

0

0

0

0.045

0

 Tint.model

1

0

0.085

0.030

0.045

0.035

 Sen.

1

0.185

0.533

0.575

0.955

0.632

 Spe.

1

1

0.999

0.999

0.763

0.999

 S.model

87

17.625

147.060

137.595

25,425

146.765

 Deviance

−135.986

−38.636

−65.861

−73.924

−5.523

−83.062

 c-index

0.916

0.751

0.839

0.845

0.587

0.859

censoring rate = 65%

 RMSE.M

0.067

0.071

0.071

0.071

0.072

0.070

 T.model

1

0

0

0

0.104

0

 Tint.model

1

0

0.010

0.035

0.104

0.050

 Sen.

1

0.177

0.464

0.518

0.961

0.582

 Spe.

1

1

0.999

0.999

0.759

0.999

 S.model

87

17.094

134.752

133.153

25,793

139.218

 Deviance

−128.426

−33.808

−52.046

−60.786

−7.674

−70.564

 c-index

0.925

0.752

0.826

0.837

0.601

0.855