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Table 2 Power of GENN to detect correct functional epistatic loci.

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

Source of Noise Power (%)
  Model 1 Model 2 Model 3 Model 4 Model 5 Model 6
None 100 100 96 91 69 72
GE 100 100 96 85 58 68
GH 7 4 15 16 14 16
PC 88 92 21 12 17 21
MS 100 100 99 82 42 74
GE+GH 3 6 14 16 11 9
GE+PC 92 95 19 11 12 16
GE+MS 100 100 93 75 48 58
GH+PC 9 9 13 15 10 11
GH+MS 1 0 0 0 0 1
PC+MS 65 85 18 13 7 9
GE+GH+PC 3 9 2 2 7 3
GE+GH+MS 5 1 0 0 0 0
GH+PC+MS 0 0 0 0 0 0
GE+PC+MS 62 81 14 9 9 9
GE+GH+PC+MS 0 0 0 0 0 0
  1. GE = 5% Genotyping Error; GH = 50% Genetic Heterogeneity; PC = 50% Phenocopy; MS = 5% Missing Data