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...
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: | |
Online Access: | https://doi.org/10.1186/s12859-023-05459-x |
Similar Items
-
Optimum kernels
by: Jitka Poměnková
Published: (2004-01-01) -
Reveal the kernel dehydration mechanisms in maize based on proteomic and metabolomic analysis
by: Hao Zhang, et al.
Published: (2024-01-01) -
H-kernels by walks in an () digraph
by: Hortensia Galeana-Sánchez, et al.
Published: (2019-12-01) -
Propositional Kernels
by: Mirko Polato, et al.
Published: (2021-08-01) -
Improvement of variables interpretability in kernel PCA
by: Mitja Briscik, et al.
Published: (2023-07-01)