Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data

We conclude that the proposed LARS-Cox procedure can be very useful in identifying genes relevant to survival phenotypes and in building a parsimonious predictive model that can be used for classifying future patients into clinically relevant high- and low-risk groups based on the gene expression profile and survival times of previous patients.