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GenoWAP: GWAS signal prioritization through integrated analysis of genomic functional annotation
Motivation: Genome-wide association study (GWAS) has been a great success in the past decade. However, significant challenges still remain in both identifying new risk loci and interpreting results. Bonferroni-corrected significance level is known to be conservative, leading to insufficient statisti...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5963360/ https://ncbi.nlm.nih.gov/pubmed/26504140 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv610 |
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