Gradient lasso for Cox proportional hazards model

Abstract

MOTIVATION There has been an increasing interest in expressing a survival phenotype (e.g. time to cancer recurrence or death) or its distribution in terms of a subset of the expression data of a subset of genes. Due to high dimensionality of gene expression data, however, there is a serious problem of collinearity in fitting a prediction model, e.g. Cox's… (More)
DOI: 10.1093/bioinformatics/btp322

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Cite this paper

@article{Sohn2009GradientLF, title={Gradient lasso for Cox proportional hazards model}, author={Insuk Sohn and Jinseog Kim and Sin-Ho Jung and Changyi Park}, journal={Bioinformatics}, year={2009}, volume={25 14}, pages={1775-81} }