机构:[a]Department of Experimental Research, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China临床科室其他部门临床研究部/药物临床试验机构华南肿瘤学国家重点实验室中山大学肿瘤防治中心[b]Department of Epidemiology and Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, United States[c]Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China临床科室其他部门内科华南肿瘤学国家重点实验室中山大学肿瘤防治中心[d]Department of Medical Microbiology, Qingdao University Medical College, Qingdao, China
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Key Program of the National Natural Science Foundation of China (No. 81430059); the National Basic Research Program of China (No. 2013CB910300); the Health & Medical Collaborative Innovation Project of Guangzhou City, China (No. 201400000001); the Foundation of the Ministry of Science and Technology of Guangdong Province (No. 2015B050501005); and the International Program for PhD Candidates, Sun Yat-sen University.
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外文
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出版当年[2017]版:
大类|2 区医学
小类|3 区肿瘤学
最新[2023]版:
无
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第一作者机构:[a]Department of Experimental Research, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
推荐引用方式(GB/T 7714):
Yao Y,Xu M,Liang L,et al.Genome-wide analysis of Epstein-Barr virus identifies variants and genes associated with gastric carcinoma and population structure[J].Tumor Biology.2017,39(10):1010428317714195.doi:10.1177/1010428317714195.
APA:
Yao, Y,Xu, M,Liang, L,Zhang, H,Xu, R...&Zeng, Y.-X.(2017).Genome-wide analysis of Epstein-Barr virus identifies variants and genes associated with gastric carcinoma and population structure.Tumor Biology,39,(10)
MLA:
Yao, Y,et al."Genome-wide analysis of Epstein-Barr virus identifies variants and genes associated with gastric carcinoma and population structure".Tumor Biology 39..10(2017):1010428317714195