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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Detalles Bibliográficos
Autores principales: Zhu, Jun, Wiener, Matthew C, Zhang, Chunsheng, Fridman, Arthur, Minch, Eric, Lum, Pek Y, Sachs, Jeffrey R, Schadt, Eric E
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1851982/
https://www.ncbi.nlm.nih.gov/pubmed/17432931
http://dx.doi.org/10.1371/journal.pcbi.0030069

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1851982/
https://www.ncbi.nlm.nih.gov/pubmed/17432931
http://dx.doi.org/10.1371/journal.pcbi.0030069

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