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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