Article
iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing cancer driver genes in personal genomes
2015-02-07
Abstract excerpt
All cancers arise as a result of the acquisition of somatic mutations that drive the disease progression. A number of computational tools have been developed to identify driver genes for a specific cancer from a group of cancer samples. However, it remains a challenge to identify driver mutations/genes for an individual patient and design drug therapies. We developed iCAGES, a novel statistical framework to rapidl...
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Identifiers and source
- Literature Corpus work
- dafad0c8-4612-505c-b0bc-3becded0ce2e
- DOI
- 10.1101/015008