| MaxMIF: A New Method for Identifying Cancer Driver Genes through Effective Data Integration | |
| Hou, Yingnan; Gao, Bo; Li, Guojun; Su, Zhengchang | |
| 刊名 | ADVANCED SCIENCE
 |
| 2018 | |
| 卷号 | 5期号:9 |
| 关键词 | cancer driver gene prediction candidate gene prioritization functional networks maximal mutational impact function somatic mutations |
| DOI | 10.1002/advs.201800640 |
| URL标识 | 查看原文 |
| 公开日期 | [db:dc_date_available] |
| 内容类型 | 期刊论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/4580834 |
| 专题 | 山东大学 |
| 作者单位 | 1.Shandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R China. 2.Shandong |
| 推荐引用方式 GB/T 7714 | Hou, Yingnan,Gao, Bo,Li, Guojun,et al. MaxMIF: A New Method for Identifying Cancer Driver Genes through Effective Data Integration[J]. ADVANCED SCIENCE,2018,5(9). |
| APA | Hou, Yingnan,Gao, Bo,Li, Guojun,&Su, Zhengchang.(2018).MaxMIF: A New Method for Identifying Cancer Driver Genes through Effective Data Integration.ADVANCED SCIENCE,5(9). |
| MLA | Hou, Yingnan,et al."MaxMIF: A New Method for Identifying Cancer Driver Genes through Effective Data Integration".ADVANCED SCIENCE 5.9(2018). |
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