Learning the optimal scale for GWAS through hierarchical SNP aggregation

BACKGROUND: Genome-Wide Association Studies (GWAS) seek to identify causal genomic variants associated with rare human diseases. The classical statistical approach for detecting these variants is based on univariate hypothesis testing, with healthy individuals being tested against affected individua...

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Detalles Bibliográficos
Autores principales: Guinot, Florent, Szafranski, Marie, Ambroise, Christophe, Samson, Franck
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267789/
https://www.ncbi.nlm.nih.gov/pubmed/30497371
http://dx.doi.org/10.1186/s12859-018-2475-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267789/
https://www.ncbi.nlm.nih.gov/pubmed/30497371
http://dx.doi.org/10.1186/s12859-018-2475-9

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