A program to identify prognostic and predictive gene signatures.

ABSTRACT:

Background

The advent of high-throughput technologies to profile human tumors has generated unprecedented insight into our molecular understanding of cancer. However, analysis of such high dimensional data is challenging and requires significant expertise which is not routinely available to many cancer researchers.

Results

To overcome this limitation, we developed a freely accessible and user friendly Program to Identify Molecular Signatures (PIMS). Importantly, such signatures allow important insight into cancer biology, as well as provide clinical tools to identify potential biomarkers that might provide means to accurately stratify patients into different risk or treatment groups. We evaluated the performance of PIMS by identifying and testing predictive and prognostic ge

SUBMITTER: Chorlton SD 

PROVIDER: S-EPMC4148546 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature