Article

Stable Variable Selection Method with Shrinkage Regression Applied to the Selection of Genetic Variants Associated with Alzheimer’s Disease

2024-03-08

Abstract excerpt

In this work we looked for a stable and accurate procedure to perform feature selection in datasets with a much higher number of predictors than individuals, as in Genome-Wide Association Studies. Due to the instability in feature selection when many potential predictors are measured, a variable selection procedure is proposed that combines several replications of shrinkage regression models. A weighted formulatio...

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Literature Corpus work: e8c094bd-b88f-5d1a-b242-0a6ace293601
DOI: 10.20944/preprints202403.0465.v1

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