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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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Detalles Bibliográficos
Autores principales:	Malzahn, Dörthe, Friedrichs, Stefanie, Rosenberger, Albert, Bickeböller, Heike
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2014
Materias:	Proceedings
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143755/ https://www.ncbi.nlm.nih.gov/pubmed/25519324 http://dx.doi.org/10.1186/1753-6561-8-S1-S41

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