From: Empirical Bayesian LASSO-logistic regression for multiple binary trait locus mapping
locus | True β | EBLASSO-NE | EBLASSO-NEG | LASSO | HyperLasso | BhGLM | RVM | Single QTL |
---|---|---|---|---|---|---|---|---|
11 | 1.99 | 0.76(0.22) | 1.61(0.22) | 0.51(0.73) | 1.67(0.30) | 1.50(0.27) | 3.87(0.60) | 0.67(0.13) |
26 | 1.81 | 0.54(0.19) | 1.23(0.21) | − | 0.93(0.38) | 1.07(0.28) | 1.53(0.47)b | 0.73(0.13) |
42 | −1.28 | −0.34(0.17) | −0.72(0.21)b | − | −1.02(0.29) | −0.95(0.24) | − | − |
48 | −0.91 | −0.40(0.19) | −0.82(0.21) | − | −1.12(0.28)b | −0.91(0.23) | − | − |
72 | 1.28 | − | − | − | − | − | − | 0.77(0.14) |
73 | 1.81 | 1.37(0.21) | 1.91(0.24) | 1.03(0.85) | 2.37(0.32) | 2.16(0.28) | 4.73(0.59) | 0.80(0.14) |
123 | 0.63 | − | − | − | − | − | − | − |
127 | −0.63 | − | − | − | − | − | − | − |
161 | 0.44 | 0.30(0.15)b | 0.59(0.19)b | − | 0.82(0.25)b | − | 1.15(0.35) | 0.57(0.13) |
181 | 0.99 | 0.38(0.20)b | − | − | − | − | − | 1.67(0.18) |
182 | 2.19 | 1.60(0.29) | 2.86(0.31) | 1.26(0.86) | 3.34(0.38) | −2.73(0.37) | 5.01(0.72) | 1.89(0.19) |
185 | 1.29 | 0.36(0.17)b | 0.56(0.19)b | 0.27(0.43)b | 1.00(0.27)b | 0.73(0.32) | 2.38(0.69)b | 1.44(0.16) |
221 | −0.75 | − | −0.36(0.16)b | − | − | − | − | − |
243 | −0.57 | −0.34(0.15) | −0.41(0.16) | −0.26(0.33) | −0.75(0.24) | −0.69(0.20) | −1.74(0.45) | − |
262 | −1.28 | − | − | − | − | − | − | − |
268 | 0.91 | − | − | − | − | − | 2.90(0.62) | − |
270 | 0.57 | − | − | − | − | − | − | − |
274 | −0.99 | − | − | − | − | − | −1.90(0.46)b | − |
361 | 0.41 | 0.30(0.16)b | 0.40(0.16)b | 0.15(0.56)b | 0.77(0.24)b | −0.72(0.21)b | 1.80(0.40)b | − |
461 | 0.51 | − | − | − | − | − | − | − |
Parameter(s) | λ=0.050 | a = 0.01 | λ=0.0257 | a = 0.1 |
| Â | Â | |
b = 6 | α=0.05 | |||||||
CPU time(s) | 25.56 | 1.31 | 1.67 | 1.90 | 20.64 | 54.70 | 8.84 | |
true/false positive | 11/2c | 11/1c | 6/4c | 10/1c | 9/0c | 17/18c | 8/25d |