From: A Markov blanket-based method for detecting causal SNPs in GWAS
 | MAF | |||
---|---|---|---|---|
Model 1 ( r 2 =0.7) | 0.05 | 0.1 | 0.2 | 0.5 |
DASSO-MB | 0(0) | 0(0) | 0(0) | 32(0.16) |
BEAM | 0(0) | 0(0) | 0(0) | 22(0.05) |
SVM | 1(3) | 1(3) | 0(0) | 33(0.7) |
 | MAF | |||
Model 1 ( r 2 =1) | 0.05 | 0.1 | 0.2 | 0.5 |
DASSO-MB | 0(0) | 0(0) | 0(0) | 46(0.11) |
BEAM | 0(0) | 0(0) | 0(0) | 36(0.07) |
SVM | 0(0) | 0(0) | 1(2) | 43(0.76) |
 | MAF | |||
Model 2 ( r 2 =0.7) | 0.05 | 0.1 | 0.2 | 0.5 |
DASSO-MB | 0(0) | 8(0) | 26(0.12) | 18(0) |
BEAM | 0(0) | 2(0) | 10(0.3) | 9(0.11) |
SVM | 0(0) | 2(1.5) | 14(0.93) | 21(0.8) |
 | MAF | |||
Model 2 ( r 2 =1) | 0.05 | 0.1 | 0.2 | 0.5 |
DASSO-MB | 10(0) | 22(0.05) | 42(0.05) | 33(0.03) |
BEAM | 8(0.13) | 7(0) | 17(0.24) | 27(0.11) |
SVM | 1(2) | 3(0.67) | 22(1.18) | 33(0.94) |
 | MAF | |||
Model 3 ( r 2 =0.7) | 0.05 | 0.1 | 0.2 | 0.5 |
DASSO-MB | 24(0.04) | 44(0.14) | 47(0.02) | 11(0.09) |
BEAM | 21(0.14) | 24(0) | 32(0.09) | 11(0.09) |
SVM | 1(1) | 6(1.83) | 29(0.83) | 29(0.83) |
 | MAF | |||
Model 3 ( r 2 =1) | 0.05 | 0.1 | 0.2 | 0.5 |
DASSO-MB | 34(0.03) | 50(0.08) | 49(0.04) | 31(0.06) |
BEAM | 33(0.03) | 47(0.04) | 43(0.09) | 31(0.1) |
SVM | 5(1.6) | 23(1.52) | 42(0.64) | 38(0.55) |