Discovering cancer genes by integrating network and functional properties.

ABSTRACT:

Background

Identification of novel cancer-causing genes is one of the main goals in cancer research. The rapid accumulation of genome-wide protein-protein interaction (PPI) data in humans has provided a new basis for studying the topological features of cancer genes in cellular networks. It is important to integrate multiple genomic data sources, including PPI networks, protein domains and Gene Ontology (GO) annotations, to facilitate the identification of cancer genes.

Methods

Topological features of the PPI network, as well as protein domain compositions, enrichment of gene ontology categories, sequence and evolutionary conservation features were extracted and compared between cancer genes and other genes. The predictive power of various classifiers for identification of c

SUBMITTER: Li L 

PROVIDER: S-EPMC2758898 | biostudies-literature | 2009 Sep

REPOSITORIES: biostudies-literature