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Article

EM-random forest and new measures of variable importance for multi-locus quantitative trait linkage analysis.

Bioinformatics (Oxford, England) - 15 Jul 2008

Lee Sophia S F, Sun Lei, Kustra Rafal, Bull Shelley B

Abstract excerpt

MOTIVATION: We developed an EM-random forest (EMRF) for Haseman-Elston quantitative trait linkage analysis that accounts for marker ambiguity and weighs each sib-pair according to the posterior identical by descent (IBD) distribution. The usual random forest (RF) variable importance (VI) index used to rank markers for variable selection is not optimal when applied to linkage data because of correlation between...

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Identifiers

PMID: 18499695
DOI: 10.1093/bioinformatics/btn239
PMCID: PMC2638262

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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