A Steiner tree-based method for biomarker discovery and classification in breast cancer metastasis.

ABSTRACT:

Background

Metastatic breast cancer is a leading cause of cancer-related deaths in women worldwide. DNA microarray has become an important tool to help identify biomarker genes for improving the prognosis of breast cancer. Recently, it was shown that pathway-level relationships between genes can be incorporated to build more robust classification models and to obtain more useful biological insight from such models. Due to the unavailability of complete pathways, protein-protein interaction (PPI) network is becoming more popular to researcher and opens a new way to investigate the developmental process of breast cancer.

Methods

In this study, a network-based method is proposed to combine microarray gene expression profiles and PPI network for biomarker discovery for breast ca

SUBMITTER: Jahid MJ 

PROVIDER: S-EPMC3481447 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature