TABLE 4.

Performance Comparison. Powers of simulations are given by this table. The percentage of the simulated datasets in which the correct markers are detected and at most two false positives are included is shown in the parentheses.

Model 1 ( ${\mathrm{r}}^2$ = 0.5)
MAF	0.05	0.1	0.2	0.5
STS-BN	0(0)	0.06(0.06)	0.84(0.86)	1(1)
bNEAT	0(0)	0.02(0.02)	0.88(0.9)	0.98(1)
DASSO-MB	0.02(0.08)	0.04(0.08)	0.7(0.86)	0.88(1)
MOMDR	0(0)	0(0)	0.74(0.84)	1(1)
BEAM	0(0)	0(0)	0(0)	0(0)
BOOST	0(0)	0.02(0.02)	0.7(0.98)	0(0.98)
SVM	0(0)	0(0)	0.12(0.46)	0.7(0.96)

Model 2 ( ${\mathbf{r}}^{\mathbf{2}}$ = 0.5)
MAF	0.05	0.1	0.2	0.5
STS-BN	0.32(0.32)	0.62(0.62)	0.86(0.9)	0.46(0.46)
bNEAT	0.34(0.34)	0.76(0.76)	0.9(0.94)	0.48(0.48)
DASSO-MB	0.18(0.42)	0.46(0.64)	0.72(0.92)	0.34(0.46)
MOMDR	0.08(0.1)	0.38(0.46)	0.72(0.74)	0.22(0.24)
BEAM	0(0)	0(0)	0(0)	0(0)
BOOST	0.04(0.04)	0.26(0.34)	0.12(0.18)	0(0)
SVM	0.02(0.02)	0.14(0.2)	0.28(0.58)	0.2(0.44)

Model 3 ( ${\mathbf{r}}^{\mathbf{2}}$ = 0.5)
MAF	0.05	0.1	0.2	0.5
STS-BN	0.7(0.74)	0.94(0.94)	0.98(1)	0.98(1)
bNEAT	0.88(0.88)	1(1)	0.96(1)	0.94(1)
DASSO-MB	0.36(0.82)	0.72(0.96)	0.84(1)	0.84(1)
MOMDR	0.56(0.6)	0.82(0.9)	1(1)	1(1)
BEAM	0(0)	0(0)	0(0)	0(0)
BOOST	0.38(0.74)	0.22(0.96)	0.24(1)	0.52(0.74)
SVM	0.1(0.2)	0.14(0.78)	0.36(0.82)	0.5(0.88)

Model 1 ( ${\mathbf{r}}^{\mathbf{2}}$ = 0.7)
MAF	0.05	0.1	0.2	0.5
STS-BN	0(0)	0.02(0.02)	0.72(0.74)	1(1)
bNEAT	0.02(0.02)	0.12(0.12)	0.94(0.96)	0.98(1)
DASSO-MB	0(0.02)	0.02(0.02)	0.58(0.74)	0.8(1)
MOMDR	0(0)	0(0)	0.58(0.74)	1(1)
BEAM	0(0)	0(0)	0(0)	0(0)
BOOST	0(0)	0.02(0.02)	0.3(0.84)	0(0.98)
SVM	0(0)	0(0)	0.04(0.36)	0.38(0.86)

Model 2 ( ${\mathbf{r}}^{\mathbf{2}}$ = 0.7)
MAF	0.05	0.1	0.2	0.5
STS-BN	0.22(0.22)	0.42(0.42)	0.7(0.7)	0.4(0.4)
bNEAT	0.4(0.4)	0.64(0.64)	0.78(0.82)	0.42(0.48)
DASSO-MB	0.14(0.44)	0.36(0.48)	0.58(0.7)	0.38(0.44)
MOMDR	0.08(0.1)	0.26(0.34)	0.44(0.54)	0.16(0.22)
BEAM	0(0)	0(0)	0(0)	0(0)
BOOST	0.08(0.18)	0.12(0.22)	0.02(0.14)	0(0)
SVM	0.02(0.02)	0.04(0.18)	0.04(0.5)	0.06(0.26)

Model 3 ( ${\mathbf{r}}^{\mathbf{2}}$ = 0.7)
MAF	0.05	0.1	0.2	0.5
STS-BN	0.62(0.62)	0.94(0.94)	0.9(0.94)	1(1)
bNEAT	0.88(0.88)	0.96(0.96)	0.96(1)	1(1)
DASSO-MB	0.3(0.78)	0.64(0.96)	0.7(0.96)	0.8(1)
MOMDR	0.28(0.34)	0.64(0.76)	0.96(0.98)	0.98(0.98)
BEAM	0(0)	0(0)	0(0)	0(0)
BOOST	0.16(0.7)	0.06(0.94)	0(1)	0.26(0.8)
SVM	0.06(0.34)	0(0.78)	0.18(0.78)	0.44(0.88)

Model 1 ( ${\mathbf{r}}^{\mathbf{2}}$ = 0.9)
MAF	0.05	0.1	0.2	0.5
STS-BN	0(0)	0.08(0.08)	0.66(0.68)	0.98(1)
bNEAT	0(0)	0.18(0.18)	0.8(0.84)	0.98(1)
DASSO-MB	0(0)	0.06(0.1)	0.4(0.68)	0.78(1)
MOMDR	0(0)	0(0)	0.58(0.7)	1(1)
BEAM	0(0)	0(0)	0(0)	0(0)
BOOST	0(0)	0(0.08)	0.04(0.94)	0(0.98)
SVM	0(0)	0(0)	0(0.32)	0.28(0.78)

Model 2 ( ${\mathbf{r}}^{\mathbf{2}}$ = 0.9)
MAF	0.05	0.1	0.2	0.5
STS-BN	0.2(0.2)	0.22(0.22)	0.5(0.52)	0.26(0.26)
bNEAT	0.26(0.26)	0.56(0.56)	0.62(0.64)	0.42(0.44)
DASSO-MB	0.1(0.26)	0.08(0.28)	0.38(0.54)	0.22(0.36)
MOMDR	0.08(0.08)	0.32(0.36)	0.4(0.44)	0.1(0.12)
BEAM	0(0)	0(0)	0(0)	0(0)
BOOST	0(0.1)	0.08(0.32)	0(0.3)	0(0)
SVM	0(0.02)	0(0.08)	0.04	0.02

Model 3 ( ${\mathbf{r}}^{\mathbf{2}}$ = 0.9)
MAF	0.05	0.1	0.2	0.5
STS-BN	0.56(0.56)	0.64(0.64)	0.82(0.84)	1(1)
bNEAT	0.86(0.86)	0.86(0.86)	0.92(0.96)	0.94(0.9)
DASSO-MB	0.34(0.58)	0.44(0.64)	0.62(0.84)	0.8(1)
MOMDR	0.26(0.32)	0.52(0.68)	0.9(0.94)	0.72(0.76)
BEAM	0(0)	0(0)	0(0)	0(0)
BOOST	0.02(0.84)	0.02(0.98)	0.02(0.94)	0.06(0.76)
SVM	0(0.38)	0(0.6)	0.08(0.78)	0.06(0.8)