[KSCI] Korea Science Citation Index Service

An Application of the Clustering Threshold Gradient Descent Regularization Method for Selecting Genes in Predicting the Survival Time of Lung Carcinomas

Lee, Seung-Yeoun (Department of Applied Mathematics, Sejong University)
Kim, Young-Chul (Department of Statistics, Seoul National University)

Publication Information

Abstract

In this paper, we consider the variable selection methods in the Cox model when a large number of gene expression levels are involved with survival time. Deciding which genes are associated with survival time has been a challenging problem because of the large number of genes and relatively small sample size (n<

Keywords

variable selection; regularization; shrinkage estimate; LASSO; threshold gradient descent regularization; the Cox model;

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Reference

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