Identifying Interacting Genetic Variations by Fish-Swarm Logic Regression

Table 3

Accuracy for different numbers of causal SNPs with risks and noise. The level of risk is equal to the probability of the phenotype being the same as the output of the Boolean expression. The level of noise is equal to the probability of randomly altering an allelic value from wild type to mutation or from mutation to wild type. The type I and II error rates are similar. For each simulation configuration, the number is computed based on 100 repeats.

	FSLR		MCLR		FBLR		LogicFS
	Type I	Type II	Type I	Type II	Type I	Type II	Type I	Type II
Risk
5%	12.8%	58.80%	1.16%	98.88%	8.70%	73.60%	6.80%	71.80%
10%	12.7%	59.00%	1.12%	98.44%	8.90%	77.60%	6.70%	73.40%
15%	12.3%	59.20%	1.19%	98.92%	8.90%	74.40%	6.60%	73.90%
Noise
1%	12.5%	59.00%	1.17%	98.56%	8.90%	77.80%	6.70%	73.40%
2%	13.5%	58.00%	1.17%	98.76%	9.00%	81.80%	6.80%	74.60%
3%	14.8%	56.60%	1.08%	99.19%	8.90%	78.40%	7.30%	76.60%