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Article

Random forests for genetic association studies.

Statistical applications in genetics and molecular biology - 1 Jan 2011

Goldstein Benjamin A, Polley Eric C, Briggs Farren B S

Abstract excerpt

The Random Forests (RF) algorithm has become a commonly used machine learning algorithm for genetic association studies. It is well suited for genetic applications since it is both computationally efficient and models genetic causal mechanisms well. With its growing ubiquity, there has been inconsistent and less than optimal use of RF in the literature. The purpose of this review is to breakdown the theoretical...

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Identifiers

PMID: 22889876
DOI: 10.2202/1544-6115.1691
PMCID: PMC3154091

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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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