Longitudinal data analysis for rare variants detection with penalized quadratic inference function

Longitudinal genetic data provide more information regarding genetic effects over time compared with cross-sectional data. Coupled with next-generation sequencing technologies, it becomes reality to identify important genes containing both rare and common variants in a longitudinal design. In this w...

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Detalles Bibliográficos
Autores principales: Cao, Hongyan, Li, Zhi, Yang, Haitao, Cui, Yuehua, Zhang, Yanbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429681/
https://www.ncbi.nlm.nih.gov/pubmed/28381821
http://dx.doi.org/10.1038/s41598-017-00712-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429681/
https://www.ncbi.nlm.nih.gov/pubmed/28381821
http://dx.doi.org/10.1038/s41598-017-00712-9

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