A method for analyzing censored survival phenotype with gene expression data.

ABSTRACT:

Background

Survival time is an important clinical trait for many disease studies. Previous works have shown certain relationship between patients' gene expression profiles and survival time. However, due to the censoring effects of survival time and the high dimensionality of gene expression data, effective and unbiased selection of a gene expression signature to predict survival probabilities requires further study.

Method

We propose a method for an integrated study of survival time and gene expression. This method can be summarized as a two-step procedure: in the first step, a moderate number of genes are pre-selected using correlation or liquid association (LA). Imputation and transformation methods are employed for the correlation/LA calculation. In the second step, the

SUBMITTER: Wu T 

PROVIDER: S-EPMC2579309 | biostudies-literature | 2008 Oct

REPOSITORIES: biostudies-literature