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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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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2013
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| Assuntos: | |
| Acceso en liña: | 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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