Prioritization of candidate cancer genes--an aid to oncogenomic studies.

ABSTRACT: The development of techniques for oncogenomic analyses such as array comparative genomic hybridization, messenger RNA expression arrays and mutational screens have come to the fore in modern cancer research. Studies utilizing these techniques are able to highlight panels of genes that are altered in cancer. However, these candidate cancer genes must then be scrutinized to reveal whether they contribute to oncogenesis or are coincidental and non-causative. We present a computational method for the prioritization of candidate (i) proto-oncogenes and (ii) tumour suppressor genes from oncogenomic experiments. We constructed computational classifiers using different combinations of sequence and functional data including sequence conservation, protein domains and interactions, and regulatory dat

SUBMITTER: Furney SJ 

PROVIDER: S-EPMC2566894 | biostudies-literature | 2008 Oct

REPOSITORIES: biostudies-literature