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Genome-wide association studies using a penalized moving-window regression
MOTIVATION: Genome-wide association studies (GWAS) have played an important role in identifying genetic variants underlying human complex traits. However, its success is hindered by weak effect at causal variants and presence of noise at non-causal variants. In an effort to overcome these difficulti...
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| Wydane w: | Bioinformatics |
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| Główni autorzy: | , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Oxford University Press
2017
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5860090/ https://ncbi.nlm.nih.gov/pubmed/28961706 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx522 |
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