Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information

BACKGROUND: Group structures among genes encoded in functional relationships or biological pathways are valuable and unique features in large-scale molecular data for survival analysis. However, most of previous approaches for molecular data analysis ignore such group structures. It is desirable to...

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Detalles Bibliográficos
Autores principales: Tang, Zaixiang, Lei, Shufeng, Zhang, Xinyan, Yi, Zixuan, Guo, Boyi, Chen, Jake Y., Shen, Yueping, Yi, Nengjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391807/
https://www.ncbi.nlm.nih.gov/pubmed/30813883
http://dx.doi.org/10.1186/s12859-019-2656-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391807/
https://www.ncbi.nlm.nih.gov/pubmed/30813883
http://dx.doi.org/10.1186/s12859-019-2656-1

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