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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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Detalhes bibliográficos
Publicado no:Hum Genomics
Main Authors: Duan, Weiwei, Zhang, Ruyang, Zhao, Yang, Shen, Sipeng, Wei, Yongyue, Chen, Feng, Christiani, David C.
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6218990/
https://ncbi.nlm.nih.gov/pubmed/30400837
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40246-018-0179-x
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