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Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data
Motivation: An important application of microarray technology is to relate gene expression profiles to various clinical phenotypes of patients. Success has been demonstrated in molecular classification of cancer in which the gene expression data serve as predictors and different types of cancer serve as a categorical outcome variable. However, there …