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A novel machine learning approach (svmSomatic) to distinguish somatic and germline mutations using next-generation sequencing data
Somatic mutations are a large category of genetic variations, which play an essential role in tumorigenesis. Detection of somatic single nucleotide variants (SNVs) could facilitate downstream analysis of tumorigenesis. Many computational methods have been developed to detect SNVs, but most require n...
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| Published in: | Zool Res |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Science Press
2021
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7995270/ https://ncbi.nlm.nih.gov/pubmed/33709636 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.24272/j.issn.2095-8137.2021.014 |
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