机构：[1]Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China,四川省人民医院四川省肿瘤医院[2]Department of Radiation Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China,[3]Department of Radiation Oncology, Sichuan Cancer Hospital& Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China四川省人民医院四川省肿瘤医院
第一作者机构：[1]Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China,
推荐引用方式(GB/T 7714)：
Li Y.,Lan M.,Peng X.,et al.Weighted Gene Co-Expression Network Analysis Combined with Machine Learning to Identify Prognostic Biomarkers for Cervical Squamous Cell Carcinoma[J].INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS.2019,105(1):S116-S116.doi:10.1016/j.ijrobp.2019.06.080.
APA：
Li, Y.,Lan, M.,Peng, X.,Zhang, Z.&Lang, J..(2019).Weighted Gene Co-Expression Network Analysis Combined with Machine Learning to Identify Prognostic Biomarkers for Cervical Squamous Cell Carcinoma.INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS,105,(1)
MLA：
Li, Y.,et al."Weighted Gene Co-Expression Network Analysis Combined with Machine Learning to Identify Prognostic Biomarkers for Cervical Squamous Cell Carcinoma".INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS 105..1(2019):S116-S116
医学