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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-05-01
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Series: | BMC Medical Genomics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12920-019-0508-5 |