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....

Descripción completa

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

Internet

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

Ejemplares similares