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Increasing the Power to Detect Causal Associations by Combining Genotypic and Expression Data in Segregating Populations
To dissect common human diseases such as obesity and diabetes, a systematic approach is needed to study how genes interact with one another, and with genetic and environmental factors, to determine clinical end points or disease phenotypes. Bayesian networks provide a convenient framework for extrac...
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| Главные авторы: | , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2007
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1851982/ https://ncbi.nlm.nih.gov/pubmed/17432931 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.0030069 |
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