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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 ≠ 0
adalasso regression penalty λ (×2) nested CV (×2) ≠ 0