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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...
Autores principales: | Saha, Saswati, Perrin, Laurent, Röder, Laurence, Brun, Christine, Spinelli, Lionel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
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 |
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