Identifying dysregulated pathways in cancers from pathway interaction networks.

ABSTRACT:

Background

Cancers, a group of multifactorial complex diseases, are generally caused by mutation of multiple genes or dysregulation of pathways. Identifying biomarkers that can characterize cancers would help to understand and diagnose cancers. Traditional computational methods that detect genes differentially expressed between cancer and normal samples fail to work due to small sample size and independent assumption among genes. On the other hand, genes work in concert to perform their functions. Therefore, it is expected that dysregulated pathways will serve as better biomarkers compared with single genes.

Results

In this paper, we propose a novel approach to identify dysregulated pathways in cancer based on a pathway interaction network. Our contribution is three-fold. Fi

SUBMITTER: Liu KQ 

PROVIDER: S-EPMC3443452 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature