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Mining Gold Dust under the Genome Wide Significance Level: A Two-Stage Approach to Analysis of GWAS
We propose a two-stage approach to analyze genome-wide association (GWA) data in order to identify a set of promising single-nucleotide polymorphisms (SNPs). In stage one, we select a list of top signals from single SNP analyses by controlling false discovery rate (FDR). In stage two, we use the lea...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3624896/ https://ncbi.nlm.nih.gov/pubmed/21254218 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.20556 |
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