Skip to main content

Table 1 Distribution of number of false positives in our simulations. These are loci which Step 1 incorrectly identifies as affecting the phenotype

From: Determination of nonlinear genetic architecture using compressed sensing

 

FP = 0

FP = 1

FP = 2

FP = 3

4 < FP < 7

BD, synthetic, s=5

0.38

0.43

0.17

0.02

0

BD, synthetic, s=50

0.39

0.37

0.19

0.03

0.02

BD, synthetic, s=100

0.35

0.40

0.18

0.06

0.01

PS, synthetic, s=3, s′=2

0.38

0.44

0.14

0.04

0

PS, synthetic, s=30, s′=20

0.24

0.36

0.27

0.09

0.04

PS, synthetic, s=60, s′=40

0.42

0.29

0.19

0.06

0.04

BD, real data, s=5

0.74

0.18

0.05

0

0.03

PS, real data, s=3, s′=2

0.69

0.13

0.08

0.04

0.06

Continuous, PS, synthetic, s=3, s′=2

0.29

0.35

0.23

0.09

0.04

  1. The first column gives the probability that no false positives are found, the second column gives the probability that one false positive is found, etc