TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes
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-dimension...
Source: BMC Bioinformatics - Category: Bioinformatics Authors: Charlie M. Carpenter, Lucas Gillenwater, Russell Bowler, Katerina Kechris and Debashis Ghosh Tags: Research Source Type: research
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