From: Bayesian compositional regression with microbiome features via variational inference
Method | \(\rho\) | TPR | FPR | L2 | PE |
---|---|---|---|---|---|
Lasso | 0 | 0.937 ± 0.091 | 0.262 ± 0.136 | 18.465 ± 1.933 | 4.741 ± 2.901 |
Lin | 0 | 0.972 ± 0.067 | 0.266 ± 0.124 | 18.572 ± 1.847 | 4.828 ± 2.928 |
Bates | 0 | 0.822 ± 0.147 | 0.029 ± 0.048 | 19.504 ± 1.803 | 4.837 ± 3.059 |
Selbal | 0 | 0.655 ± 0.117 | 0.002 ± 0.008 | 21.159 ± 1.541 | 5.305 ± 3.570 |
VB | 0 | 0.678 ± 0.111 | 0.002 ± 0.008 | 20.072 ± 1.560 | 4.687 ± 2.948 |
Lasso | 0.2 | 0.882 ± 0.133 | 0.271 ± 0.140 | 18.442 ± 1.996 | 5.051 ± 2.951 |
Lin | 0.2 | 0.897 ± 0.125 | 0.292 ± 0.143 | 18.526 ± 2.215 | 4.939 ± 2.866 |
Bates | 0.2 | 0.767 ± 0.128 | 0.042 ± 0.057 | 19.425 ± 1.828 | 5.023 ± 2.727 |
Selbal | 0.2 | 0.637 ± 0.114 | 0.005 ± 0.012 | 21.259 ± 1.718 | 4.815 ± 2.800 |
VB | 0.2 | 0.640 ± 0.141 | 0.002 ± 0.007 | 20.156 ± 1.549 | 4.410 ± 2.475 |
Lasso | 0.4 | 0.825 ± 0.137 | 0.294 ± 0.163 | 18.330 ± 2.118 | 4.661 ± 3.396 |
Lin | 0.4 | 0.835 ± 0.139 | 0.354 ± 0.151 | 18.322 ± 2.180 | 4.651 ± 3.205 |
Bates | 0.4 | 0.692 ± 0.165 | 0.058 ± 0.079 | 19.471 ± 2.169 | 4.583 ± 3.437 |
Selbal | 0.4 | 0.550 ± 0.168 | 0.004 ± 0.012 | 21.134 ± 1.699 | 4.733 ± 3.852 |
VB | 0.4 | 0.428 ± 0.211 | 0.001 ± 0.005 | 20.835 ± 2.021 | 4.370 ± 2.948 |