Mapping complex traits using Random Forests

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...

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Detalles Bibliográficos
Autores principales: Bureau, Alexandre, Dupuis, Josée, Hayward, Brooke, Falls, Kathleen, Van Eerdewegh, Paul
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866502/
https://www.ncbi.nlm.nih.gov/pubmed/14975132
http://dx.doi.org/10.1186/1471-2156-4-S1-S64

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866502/
https://www.ncbi.nlm.nih.gov/pubmed/14975132
http://dx.doi.org/10.1186/1471-2156-4-S1-S64

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