Integration of Multiple Genomic Data Sources in a Bayesian Cox Model for Variable Selection and Prediction

Bayesian variable selection becomes more and more important in statistical analyses, in particular when performing variable selection in high dimensions. For survival time models and in the presence of genomic data, the state of the art is still quite unexploited. One of the more recent approaches s...

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Detalles Bibliográficos
Autores principales: Treppmann, Tabea, Ickstadt, Katja, Zucknick, Manuela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554576/
https://www.ncbi.nlm.nih.gov/pubmed/28828032
http://dx.doi.org/10.1155/2017/7340565

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554576/
https://www.ncbi.nlm.nih.gov/pubmed/28828032
http://dx.doi.org/10.1155/2017/7340565

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