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Indirect effect inference and application to GAW20 data
BACKGROUND: Association studies using a single type of omics data have been successful in identifying disease-associated genetic markers, but the underlying mechanisms are unaddressed. To provide a possible explanation of how these genetic factors affect the disease phenotype, integration of multipl...
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| Опубликовано в: : | BMC Genet |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6157197/ https://ncbi.nlm.nih.gov/pubmed/30255768 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12863-018-0638-3 |
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