Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies

The standard approach to the analysis of genome-wide association studies (GWAS) is based on testing each position in the genome individually for statistical significance of its association with the phenotype under investigation. To improve the analysis of GWAS, we propose a combination of machine le...

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Detalles Bibliográficos
Autores principales: Mieth, Bettina, Kloft, Marius, Rodríguez, Juan Antonio, Sonnenburg, Sören, Vobruba, Robin, Morcillo-Suárez, Carlos, Farré, Xavier, Marigorta, Urko M., Fehr, Ernst, Dickhaus, Thorsten, Blanchard, Gilles, Schunk, Daniel, Navarro, Arcadi, Müller, Klaus-Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5125008/
https://www.ncbi.nlm.nih.gov/pubmed/27892471
http://dx.doi.org/10.1038/srep36671

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5125008/
https://www.ncbi.nlm.nih.gov/pubmed/27892471
http://dx.doi.org/10.1038/srep36671

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