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Article

Applications of machine learning and data mining methods to detect associations of rare and common variants with complex traits.

Genetic epidemiology - 1 Sept 2014

Lu Ake Tzu-Hui, Austin Erin, Bonner Ashley, Huang Hsin-Hsiung, Cantor Rita M

Abstract excerpt

Machine learning methods (MLMs), designed to develop models using high-dimensional predictors, have been used to analyze genome-wide genetic and genomic data to predict risks for complex traits. We summarize the results from six contributions to our Genetic Analysis Workshop 18 working group; these investigators applied MLMs and data mining to analyses of rare and common genetic variants measured in pedigrees. To...

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Identifiers

PMID: 25112194
DOI: 10.1002/gepi.21830

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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