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Fast computation for genome-wide association studies using boosted one-step statistics
Motivation: Statistical analyses of genome-wide association studies (GWAS) require fitting large numbers of very similar regression models, each with low statistical power. Taking advantage of repeated observations or correlated phenotypes can increase this statistical power, but fitting the more co...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2012
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3389774/ https://ncbi.nlm.nih.gov/pubmed/22592383 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts291 |
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