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Table 5 Eight effects estimated with the EBLASSO algorithm for the real data.

From: Fast empirical Bayesian LASSO for multiple quantitative trait locus mapping

Markers
(446,446) 1.4173(0.0432) 0.7639
(187,187) 0.2624(0.0421) 0.0262
(77,77) 0.1881(0.0413) 0.0132
(238,238) -0.1742(0.0427) 0.0101
(197,483) 0.1748(0.0405) 0.0117
(37,130) 0.1557(0.0422) 0.0085
(53,270) -0.1649(0.0452) 0.0081
(149,175) 0.1697(0.0464) 0.0078
5.7037  
0.2699  
  0.8495
  1. Eights effects were detected with all of the following parameters: a = b = 0.05, 0.07, 0.1, 0.5, 1; , and listed here were obtained with a = b = 0.05.