From: Tailored graphical lasso for data integration in gene network reconstruction
Case | Edge disagreement % | Partial cor | Prior partial cor | Method | \(k_{\text{opt}}\) | Sparsity | Precision | Recall |
---|---|---|---|---|---|---|---|---|
1 | 0 | 0.2 | 0.2 | Glasso | – | 0.035 | 0.283 | 0.493 |
Wglasso | – | 0.032 | 0.312 | 0.503 | ||||
TailoredGlasso | 49.64 | 0.031 | 0.389 | 0.606 | ||||
2 | 0 | 0.2 | 0.1 | Glasso | – | 0.035 | 0.285 | 0.499 |
Wglasso | – | 0.034 | 0.293 | 0.493 | ||||
TailoredGlasso | 13.39 | 0.034 | 0.295 | 0.496 | ||||
3 | 0 | 0.1 | 0.2 | Glasso | – | 0.022 | 0.079 | 0.085 |
Wglasso | – | 0.021 | 0.096 | 0.099 | ||||
TailoredGlasso | 3.34 | 0.021 | 0.100 | 0.103 | ||||
4 | 0 | 0.1 | 0.1 | Glasso | – | 0.022 | 0.079 | 0.085 |
Wglasso | – | 0.020 | 0.082 | 0.083 | ||||
TailoredGlasso | 5.63 | 0.020 | 0.083 | 0.084 | ||||
5 | 10 | 0.2 | 0.2 | Glasso | – | 0.035 | 0.283 | 0.493 |
Wglasso | – | 0.033 | 0.305 | 0.493 | ||||
TailoredGlasso | 41.2 | 0.032 | 0.335 | 0.532 | ||||
6 | 20 | 0.2 | 0.2 | Glasso | – | 0.035 | 0.283 | 0.493 |
Wglasso | – | 0.034 | 0.291 | 0.491 | ||||
TailoredGlasso | 4.31 | 0.034 | 0.291 | 0.493 | ||||
7 | 100 | 0.2 | 0.2 | Glasso | – | 0.035 | 0.283 | 0.493 |
Wglasso | – | 0.034 | 0.289 | 0.485 | ||||
TailoredGlasso | 2.94 | 0.034 | 0.290 | 0.485 |