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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...
Zapisane w:
| Wydane w: | Sci Rep |
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| Główni autorzy: | , , , , , , , , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Publishing Group
2016
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| Hasła przedmiotowe: | |
| Dostęp online: | 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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