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Table 4 Power of GENN to detect primary 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 Primary Model (5,10)
  Model 1 Model 2 Model 3 Model 4 Model 5 Model 6
GH 34 49 20 13 8 11
GE+GH 48 49 20 13 8 10
GH+PC 10 11 3 0 4 3
GH+MS 31 35 12 11 9 9
GE+GH+PC 11 8 3 0 1 2
GE+GH+MS 43 29 13 7 8 5
GH+PC+MS 3 8 3 1 5 3
GE+GH+PC+MS 4 8 1 3 0 2
  1. GE = 5% Genotyping Error; GH = 50% Genetic Heterogeneity; PC = 50% Phenocopy; MS = 5% Missing Data