Bayesian variable selection for parametric survival model with applications to cancer omics data

BACKGROUND: Modeling thousands of markers simultaneously has been of great interest in testing association between genetic biomarkers and disease or disease-related quantitative traits. Recently, an expectation-maximization (EM) approach to Bayesian variable selection (EMVS) facilitating the Bayesia...

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Detalles Bibliográficos
Autores principales: Duan, Weiwei, Zhang, Ruyang, Zhao, Yang, Shen, Sipeng, Wei, Yongyue, Chen, Feng, Christiani, David C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Primary Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218990/
https://www.ncbi.nlm.nih.gov/pubmed/30400837
http://dx.doi.org/10.1186/s40246-018-0179-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218990/
https://www.ncbi.nlm.nih.gov/pubmed/30400837
http://dx.doi.org/10.1186/s40246-018-0179-x

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