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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Publicado en:Sci Rep
Main Authors: 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: Artigo
Idioma:Inglês
Publicado: Nature Publishing Group 2016
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5125008/
https://ncbi.nlm.nih.gov/pubmed/27892471
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep36671
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