Improving the prediction of the functional impact of cancer mutations by baseline tolerance transformation


High-throughput prioritization of cancer-causing mutations (drivers) is a key challenge of cancer genome projects, due to the number of somatic variants detected in tumors. One important step in this task is to assess the functional impact of tumor somatic mutations. A number of computational methods have been employed for that purpose, although most were… (More)
DOI: 10.1186/gm390


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