NeoMutate: an ensemble machine learning framework for the prediction of somatic mutations in cancer
Abstract Background The accurate screening of tumor genomic landscapes for somatic mutations using high-throughput sequencing involves a crucial step in precise clinical diagnosis and targeted therapy. However, the complex inherent features of cancer tissue, especially, tumor genetic intra-heterogen...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMC
2019-05-01
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| シリーズ: | BMC Medical Genomics |
| 主題: | |
| オンライン･アクセス: | http://link.springer.com/article/10.1186/s12920-019-0508-5 |
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