Kernel Cox Regression Models for Linking Gene Expression Profiles to Censored Survival Data

Abstract

In functional genomics, one important problem is to relate the microarray gene expression profiles to various clinical phenotypes from patients. The success has been demonstrated in molecular classification of cancer in which gene expression data serve as predictors and different types of cancer are the binary or multi-categorical outcome variable. However… (More)

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