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

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

Abstract 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 desir...

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Bibliographic Details
Main Authors: Zaixiang Tang, Shufeng Lei, Xinyan Zhang, Zixuan Yi, Boyi Guo, Jake Y. Chen, Yueping Shen, Nengjun Yi
Format: Article
Language:English
Published: BMC 2019-02-01
Series:BMC Bioinformatics
Subjects:
Cox survival models
Grouped predictors
Hierarchical modeling
Lasso
Pathway
Spike-and-slab prior
Online Access:http://link.springer.com/article/10.1186/s12859-019-2656-1

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http://link.springer.com/article/10.1186/s12859-019-2656-1

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