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Kernel score statistic for dependent data
The kernel score statistic is a global covariance component test over a set of genetic markers. It provides a flexible modeling framework and does not collapse marker information. We generalize the kernel score statistic to allow for familial dependencies and to adjust for random confounder effects....
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4143755/ https://ncbi.nlm.nih.gov/pubmed/25519324 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1753-6561-8-S1-S41 |
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