Ontology highlight
ABSTRACT: Background
Most tumors are the result of accumulated genomic alterations in somatic cells. The emerging spectrum of alterations in tumors is complex and the identification of relevant genes and pathways remains a challenge. Furthermore, key cancer genes are usually found amplified or deleted in chromosomal regions containing many other genes. Point mutations, on the other hand, provide exquisite information about amino acid changes that could be implicated in the oncogenic process. Current large-scale genomic projects provide high throughput genomic data in a large number of well-characterized tumor samples.Methods
We define a Bayesian approach designed to identify candidate cancer genes by integrating copy number and point mutation information. Our method exploits the conc
SUBMITTER: Trifonov V
PROVIDER: S-EPMC3637169 | biostudies-literature | 2013 Mar
REPOSITORIES: biostudies-literature