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Table 4 Simulation studies for various proportion of training dataset

From: PredictiveNetwork: predictive gene network estimation with application to gastric cancer drug response-predictive network analysis

Methods

Proportion (%)

Ave of TP and TN for \(\varvec{\theta }\)

MSE

Scn1

Scn2

Scn3

Scn4

Scn1

Scn2

Scn3

Scn4

Pro

50

0.94

0.94

0.94

0.94

1.139

1.170

1.109

1.096

60

0.95

0.95

0.95

0.95

1.152

1.036

1.085

1.113

70

0.95

0.95

0.95

0.95

1.100

1.099

1.036

1.035

80

0.94

0.95

0.94

0.95

1.047

1.110

0.962

1.124

NW.P

50

0.85

0.88

0.82

0.83

1.134

1.160

1.103

1.087

60

0.87

0.82

0.84

0.83

1.149

1.068

1.107

1.120

70

0.85

0.84

0.87

0.85

1.098

1.093

1.042

1.062

80

0.83

0.87

0.89

0.85

1.032

1.106

0.966

1.145

EL

50

0.66

0.65

0.64

0.64

1.169

1.215

1.129

1.111

60

0.65

0.63

0.64

0.64

1.200

1.107

1.142

1.160

70

0.65

0.64

0.64

0.64

1.133

1.140

1.075

1.094

80

0.65

0.64

0.65

0.64

1.086

1.142

0.983

1.173

LA

50

0.65

0.64

0.64

0.63

1.168

1.213

1.128

1.110

60

0.65

0.63

0.64

0.63

1.193

1.105

1.137

1.155

70

0.65

0.64

0.64

0.64

1.134

1.137

1.077

1.100

80

0.65

0.64

0.65

0.64

1.073

1.139

0.990

1.163