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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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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2004
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC545646/ https://ncbi.nlm.nih.gov/pubmed/15588316 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2156-5-32 |
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