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Reaching the End-Game for GWAS: Machine Learning Approaches for the Prioritization of Complex Disease Loci
Genome-wide association studies (GWAS) have revealed thousands of genetic loci that underpin the complex biology of many human traits. However, the strength of GWAS – the ability to detect genetic association by linkage disequilibrium (LD) – is also its limitation. Whilst the ever-increasing study s...
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| Publicado en: | Front Genet |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7174742/ https://ncbi.nlm.nih.gov/pubmed/32351543 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2020.00350 |
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