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A geometric framework for evaluating rare variant tests of association

The wave of next-generation sequencing data has arrived. However, many questions still remain about how to best analyze sequence data, particularly the contribution of rare genetic variants to human disease. Numerous statistical methods have been proposed to aggregate association signals across mult...

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Detalhes bibliográficos
Main Authors: Liu, Keli, Fast, Shannon, Zawistowski, Matthew, Tintle, Nathan L.
Formato: Artigo
Idioma:Inglês
Publicado em: 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3718063/
https://ncbi.nlm.nih.gov/pubmed/23526307
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.21722
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