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Article

Kernel methods for large-scale genomic data analysis.

Briefings in bioinformatics - 1 Mar 2015

Wang Xuefeng, Xing Eric P, Schaid Daniel J

Abstract excerpt

Machine learning, particularly kernel methods, has been demonstrated as a promising new tool to tackle the challenges imposed by today's explosive data growth in genomics. They provide a practical and principled approach to learning how a large number of genetic variants are associated with complex phenotypes, to help reveal the complexity in the relationship between the genetic markers and the outcome of...

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Identifiers

PMID: 25053743
DOI: 10.1093/bib/bbu024
PMCID: PMC4375394

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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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