Multivariate random forest permutation importance is given a conditional sure-screening guarantee and applied to facial-shape GWAS after LASSO pre-screening.
Synergy, redundancy, and multivariate information measures: An experimentalist’s perspective.Journal of computational neuroscience, 36, 07 2013
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Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection
Multivariate random forest permutation importance is given a conditional sure-screening guarantee and applied to facial-shape GWAS after LASSO pre-screening.