Article

An ensemble learning method for joint kernel association testing and principal component analysis on multiple kernels

2025-02-08

Abstract excerpt

In high-dimensional omics studies, researchers often conduct kernel association testing to power-fully detect the relationship of the genetic or microbial composition with human health or disease. Especially, in human microbiome studies, its dimension reduction analysis follows to visually represent complex microbiome data in a simple two- or three-dimensional coordinate space. However, various kernels exist, and...

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Literature Corpus work: cc51c82f-30ae-5e61-9552-d164ab8b5ff1
DOI: 10.1101/2025.02.07.637007

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