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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Main Authors: | Irantzu Anzar (Author), Angelina Sverchkova (Author), Richard Stratford (Author), Trevor Clancy (Author) |
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Format: | Book |
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BMC,
2019-05-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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