Table 1 Overview of the methods
From: Regularized estimation of large-scale gene association networks using graphical Gaussian models
Method | Type | parameter(s) | choice | edge if |
|---|---|---|---|---|
shrink | regularized estimation of the covariance | shrinkage intensity λ | analytic | fdr< 0.2 |
pls | regression | number of components m | CV | fdr< 0.2 |
ridge | regression | penalty λ | CV | fdr< 0.2 |
lasso | regression | penalty λ | CV |
|
adalasso | regression | penalty λ (×2) | nested CV (×2) |
|
≠ 0