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Article

Mapping complex traits using Random Forests.

BMC genetics - 31 Dec 2003

Bureau Alexandre, Dupuis Josée, Hayward Brooke, Falls Kathleen, Van Eerdewegh Paul

Abstract excerpt

Random Forest is a prediction technique based on growing trees on bootstrap samples of data, in conjunction with a random selection of explanatory variables to define the best split at each node. In the case of a quantitative outcome, the tree predictor takes on a numerical value. We applied Random Forest to the first replicate of the Genetic Analysis Workshop 13 simulated data set, with the sibling pairs as our...

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Identifiers

PMID: 14975132
DOI: 10.1186/1471-2156-4-S1-S64
PMCID: PMC1866502

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