Table 6

Cross-validations of the EBLASSO-NE, EBLASSO-NEG and LASSO for the simulation with main and epistatic effects
Algorithm Parametersa logL ± STEb
0.0631 −0.44 ± 0.04
0.0891 −0.41 ± 0.04
0.1259 −0.39 ± 0.03
EBLASSO-NE 0.1600 −0.37 ± 0.01c
0.1778 −0.42 ± 0.04
0.2512 −0.53 ± 0.04
0.3548 −0.47 ± 0.04
(−0.4,0.05) −0.40 ± 0.05
(−0.2,0.05) −0.20 ± 0.05
(−0.1,0.05) −0.10 ± 0.05
EBLASSO-NEG (−0.2,0.01) −0.35 ± 0.02
(−0.2,0.1) −0.33 ± 0.02c
(−0.2,0.5) −0.35 ± 0.02
0.1027 −0.57 ± 0.01
0.0511 −0.47 ± 0.02
LASSO 0.0254 −0.37 ± 0.02c
0.0127 −0.37 ± 0.03
0.0063 −0.39 ± 0.04

aParameters are λ for EBLASSO-NE and LASSO, (a, b) for EBLASSO-NEG.

bThe average log likelihood and standard error were obtained from ten-fold cross validation.

cThe optimal log likelihood and corresponding parameter(s) chosen for comparison with other methods.

Huang et al.

Huang et al. BMC Genetics 2013 14:5   doi:10.1186/1471-2156-14-5

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