Screening large-scale association study data: exploiting interactions using random forests

BACKGROUND: Genome-wide association studies for complex diseases will produce genotypes on hundreds of thousands of single nucleotide polymorphisms (SNPs). A logical first approach to dealing with massive numbers of SNPs is to use some test to screen the SNPs, retaining only those that meet some cri...

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Detalles Bibliográficos
Autores principales: Lunetta, Kathryn L, Hayward, L Brooke, Segal, Jonathan, Van Eerdewegh, Paul
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC545646/
https://www.ncbi.nlm.nih.gov/pubmed/15588316
http://dx.doi.org/10.1186/1471-2156-5-32

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC545646/
https://www.ncbi.nlm.nih.gov/pubmed/15588316
http://dx.doi.org/10.1186/1471-2156-5-32

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