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Table 1 Sensitivity and Specificity of the " large n small p" simulation

From: Network-based group variable selection for detecting expression quantitative trait loci (eQTL)

  

Sensitivity

Specificity

Model

Gene

NGVS

GLasso

Lasso

NGVS

GLasso

Lasso

1

1

0.81

(0.17)

0.76

(0.21)

0.71

(0.24)

0.86

(0.13)

0.82

(0.16)

0.79

(0.18)

 

2

0.78

(0.16)

0.77

(0.21)

0.69

(0.23)

0.84

(0.12)

0.83

(0.16)

0.77

(0.17)

2

1

0.97

(0.10)

0.97

(0.09)

0.85

(0.18)

0.98

(0.08)

0.98

(0.07)

0.89

(0.14)

 

2

0.96

(0.11)

0.97

(0.10)

0.83

(0.18)

0.97

(0.08)

0.98

(0.08)

0.88

(0.14)

3

1

0.75

(0.21)

0.71

(0.20)

0.59

(0.22)

0.81

(0.16)

0.78

(0.15)

0.70

(0.16)

 

2

0.76

(0.18)

0.74

(0.22)

0.58

(0.19)

0.82

(0.13)

0.81

(0.16)

0.69

(0.14)

4

1

0.82

(0.20)

0.94

(0.13)

0.67

(0.17)

0.87

(0.15)

0.96

(0.10)

0.76

(0.13)

 

2

0.84

(0.18)

0.91

(0.16)

0.66

(0.16)

0.88

(0.14)

0.94

(0.12)

0.75

(0.12)

  1. NGVS: the network-based group variable selection method; GLasso: the group lasso without gene network and loci structure; Lasso: only considering additive effect of each locus. Sensitivity and specificity are calculated based on 50 simulations, with standard errors reported in parentheses.
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BMC Bioinformatics

ISSN: 1471-2105

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