Epi-MEIF: detecting higher order epistatic interactions for complex traits using mixed effect conditional inference forests

Understanding the relationship between genetic variations and variations in complex and quantitative phenotypes remains an ongoing challenge. While Genome-wide association studies (GWAS) have become a vital tool for identifying single-locus associations, we lack methods for identifying epistatic int...

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Detalles Bibliográficos
Autores principales: Saha, Saswati, Perrin, Laurent, Röder, Laurence, Brun, Christine, Spinelli, Lionel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639209/
https://www.ncbi.nlm.nih.gov/pubmed/36107776
http://dx.doi.org/10.1093/nar/gkac715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639209/
https://www.ncbi.nlm.nih.gov/pubmed/36107776
http://dx.doi.org/10.1093/nar/gkac715

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