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Table 6 Power of GENN to detect either genetic model in data with genetic heterogeneity.

From: Power of grammatical evolution neural networks to detect gene-gene interactions in the presence of error

Source of Noise

Power (%) to Detect Either Model (5,10 or 3,4)

 

Model 1

Model 2

Model 3

Model 4

Model 5

Model 6

GH

79

89

38

24

16

19

GE+GH

92

90

41

24

16

22

GH+PC

22

22

4

5

6

4

GH+MS

65

62

26

19

17

15

GE+GH+PC

23

23

4

3

2

4

GE+GH+MS

83

61

23

15

17

10

GH+PC+MS

13

17

3

2

7

4

GE+GH+PC+MS

7

16

2

4

1

3

  1. GE = 5% Genotyping Error; GH = 50% Genetic Heterogeneity; PC = 50% Phenocopy; MS = 5% Missing Data