TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes

TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes

Abstract Background In this paper, we are interested in interactions between a high-dimensional -omics dataset and clinical covariates. The goal is to evaluate the relationship between a phenotype of interest and a high-dimensional omics pathway, where the effect of the omics data depends on subject...

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Bibliographic Details
Main Authors: Charlie M. Carpenter, Lucas Gillenwater, Russell Bowler, Katerina Kechris, Debashis Ghosh
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Bioinformatics
Subjects:
Kernel functions
Kernel methods
Kernel interactions
Metabolomics
Metabolic pathways
Online Access:https://doi.org/10.1186/s12859-023-05459-x

Internet

https://doi.org/10.1186/s12859-023-05459-x

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