Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis
文献类型:期刊论文
作者 | Gao, Bo1,3,4,5,6![]() ![]() |
刊名 | GLOBAL CHALLENGES
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出版日期 | 2021-06-19 |
页码 | 13 |
关键词 | driver gene module gene mutation mutual exclusivity network analysis signaling pathway |
DOI | 10.1002/gch2.202100006 |
英文摘要 | Y High-throughput biological data has created an unprecedented opportunity for illuminating the mechanisms of tumor emergence and evolution. An important and challenging problem in deciphering cancers is to investigate the commonalities of driver genes and pathways and the associations between cancers. Aiming at this problem, a tool ComCovEx is developed to identify common cancer driver gene modules between two cancers by searching for the candidates in local signaling networks using an exclusivitycoverage iteration strategy and outputting those with significant coverage and exclusivity for both cancers. The associations of the cancer pairs are further evaluated by Fisher's exact test. Being applied to 11 TCGA cancer datasets, ComCovEx identifies 13 significantly associated cancer pairs with plenty of biologically significant common gene modules. The novel results of cancer relationship and common gene modules reveal the relevant pathological basis of different cancer types and provide new clues to diagnosis and drug treatment in associated cancers. |
资助项目 | National Key Research and Development Program of China[2020YFA0712400] ; Program of Natural Science Fund of China[61902390] ; Program of Natural Science Fund of China[11631014] ; Program of Natural Science Fund of China[11931008] ; Program of Natural Science Fund of China[61771009] ; Beijing Municipal Key Laboratory of Clinical Epidemiology |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
WOS记录号 | WOS:000663286800001 |
出版者 | WILEY-V C H VERLAG GMBH |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/58830] ![]() |
专题 | 应用数学研究所 博士后 |
通讯作者 | Li, Guojun; Wu, Ling-Yun |
作者单位 | 1.Shandong Univ, Sch Math, Jinan 250100, Peoples R China 2.Shandong Univ, Res Ctr Math & Interdisciplinary Sci, Qingdao 266237, Peoples R China 3.Beijing Municipal Key Lab Clin Epidemiol, Beijing 100069, Peoples R China 4.Capital Med Univ, Sch Publ Hlth, Beijing 100069, Peoples R China 5.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Acad Math & Syst Sci, IAM, MADIS,NCMIS, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Gao, Bo,Zhao, Yue,Gao, Yonghang,et al. Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis[J]. GLOBAL CHALLENGES,2021:13. |
APA | Gao, Bo,Zhao, Yue,Gao, Yonghang,Li, Guojun,&Wu, Ling-Yun.(2021).Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis.GLOBAL CHALLENGES,13. |
MLA | Gao, Bo,et al."Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis".GLOBAL CHALLENGES (2021):13. |
入库方式: OAI收割
来源:数学与系统科学研究院
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