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On the association analysis of genome-sequencing data: A spatial clustering approach for partitioning the entire genome into nonoverlapping windows

For the association analysis of whole-genome sequencing (WGS) studies, we propose an efficient and fast spatial-clustering algorithm. Compared to existing analysis approaches for WGS data, that define the tested regions either by sliding or consecutive windows of fixed sizes along variants, a meanin...

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Publicado en:Genet Epidemiol
Autores principales: Fier, Heide Loehlein, Prokopenko, Dmitry, Hecker, Julian, Cho, Michael H., Silverman, Edwin K., Weiss, Scott T., Tanzi, Rudolph E., Lange, Christoph
Formato: Artigo
Lenguaje:Inglês
Publicado: 2017
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5525021/
https://ncbi.nlm.nih.gov/pubmed/28318110
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.22040
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