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Article

Equivalence of kernel machine regression and kernel distance covariance for multidimensional phenotype association studies.

Biometrics - 1 Sept 2015

Hua Wen-Yu, Ghosh Debashis

Abstract excerpt

Associating genetic markers with a multidimensional phenotype is an important yet challenging problem. In this work, we establish the equivalence between two popular methods: kernel-machine regression (KMR), and kernel distance covariance (KDC). KMR is a semiparametric regression framework that models covariate effects parametrically and genetic markers non-parametrically, while KDC represents a class of methods...

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PMID: 25939365
DOI: 10.1111/biom.12314

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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