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Integrative Bayesian variable selection with gene-based informative priors for genome-wide association studies
BACKGROUND: Genome-wide Association Studies (GWAS) are typically designed to identify phenotype-associated single nucleotide polymorphisms (SNPs) individually using univariate analysis methods. Though providing valuable insights into genetic risks of common diseases, the genetic variants identified...
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| Udgivet i: | BMC Genet |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2014
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4275962/ https://ncbi.nlm.nih.gov/pubmed/25491445 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12863-014-0130-7 |
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