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TATES: Efficient Multivariate Genotype-Phenotype Analysis for Genome-Wide Association Studies
To date, the genome-wide association study (GWAS) is the primary tool to identify genetic variants that cause phenotypic variation. As GWAS analyses are generally univariate in nature, multivariate phenotypic information is usually reduced to a single composite score. This practice often results in...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3554627/ https://ncbi.nlm.nih.gov/pubmed/23359524 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pgen.1003235 |
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