The dChip survival analysis module for microarray data.

ABSTRACT:

Background

Genome-wide expression signatures are emerging as potential marker for overall survival and disease recurrence risk as evidenced by recent commercialization of gene expression based biomarkers in breast cancer. Similar predictions have recently been carried out using genome-wide copy number alterations and microRNAs. Existing software packages for microarray data analysis provide functions to define expression-based survival gene signatures. However, there is no software that can perform survival analysis using SNP array data or draw survival curves interactively for expression-based sample clusters.

Results

We have developed the survival analysis module in the dChip software that performs survival analysis across the genome for gene expression and copy number mic

SUBMITTER: Amin SB 

PROVIDER: S-EPMC3068974 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature