A novel machine learning approach (svmSomatic) to distinguish somatic and germline mutations using next-generation sequencing data
文献类型：期刊论文
| 作者 | Mao,Yu-Fang; Yuan,Xi-Guo; Cun,Yu-Peng |
| 刊名 | ZOOLOGICAL RESEARCH
 |
| 出版日期 | 2021 |
| 卷号 | 42期号:2页码:246-249 |
| 关键词 | COPY-NUMBER READ ALIGNMENT CANCER |
| ISSN号 | 2095-8137 |
| DOI | 10.24272/j.issn.2095-8137.2021.014 |
| WOS记录号 | WOS:000630398800016 |
| 源URL | [http://ir.kib.ac.cn/handle/151853/73098]  |
| 专题 | 中国科学院昆明植物研究所 |
| 作者单位 | 1.Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Shaanxi, Peoples R China 2.[Mao, Yu-Fang 3.Chinese Acad Sci, Kunming Inst Bot, Germplasm Bank Wild Species, iFlora Bioinformat Ctr, Kunming 650201, Yunnan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Mao,Yu-Fang,Yuan,Xi-Guo,Cun,Yu-Peng. A novel machine learning approach (svmSomatic) to distinguish somatic and germline mutations using next-generation sequencing data[J]. ZOOLOGICAL RESEARCH,2021,42(2):246-249. |
| APA | Mao,Yu-Fang,Yuan,Xi-Guo,&Cun,Yu-Peng.(2021).A novel machine learning approach (svmSomatic) to distinguish somatic and germline mutations using next-generation sequencing data.ZOOLOGICAL RESEARCH,42(2),246-249. |
| MLA | Mao,Yu-Fang,et al."A novel machine learning approach (svmSomatic) to distinguish somatic and germline mutations using next-generation sequencing data".ZOOLOGICAL RESEARCH 42.2(2021):246-249. |
入库方式： OAI收割
来源：昆明植物研究所
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