Article
Applying expression profile similarity for discovery of patient-specific functional mutations
2017-08-03
Abstract excerpt
The progress of cancer genome sequencing projects yields unprecedented information of mutations for numerous patients. However, the complexity of mutation profiles of patients hinders the further understanding of mechanisms of oncogenesis. One basic question is how to uncover mutations with functional impacts. In this work, we introduce a computational method to predict functional somatic mutations for each of pat...
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Identifiers and source
- Literature Corpus work
- ae1f5cd1-beb9-5f03-b56b-7f6c3a0bc9ff
- DOI
- 10.1101/172015
