Detecting disease-associated genomic outcomes using constrained mixture of Bayesian hierarchical models for paired data

Detecting disease-associated genomic outcomes is one of the key steps in precision medicine research. Cutting-edge high-throughput technologies enable researchers to unbiasedly test if genomic outcomes are associated with disease of interest. However, these technologies also include the challenges a...

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Detalles Bibliográficos
Autores principales: Li, Yunfeng, Morrow, Jarrett, Raby, Benjamin, Tantisira, Kelan, Weiss, Scott T., Huang, Wei, Qiu, Weiliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5373614/
https://www.ncbi.nlm.nih.gov/pubmed/28358896
http://dx.doi.org/10.1371/journal.pone.0174602

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5373614/
https://www.ncbi.nlm.nih.gov/pubmed/28358896
http://dx.doi.org/10.1371/journal.pone.0174602

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