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KNN-MDR: a learning approach for improving interactions mapping performances in genome wide association studies

BACKGROUND: Finding epistatic interactions in large association studies like genome-wide association studies (GWAS) with the nowadays-available large volume of genomic data is a challenging and largely unsolved issue. Few previous studies could handle genome-wide data due to the intractable difficul...

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Detalles Bibliográficos
Autores principales: Abo Alchamlat, Sinan, Farnir, Frédéric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5361736/
https://www.ncbi.nlm.nih.gov/pubmed/28327091
http://dx.doi.org/10.1186/s12859-017-1599-7