机构:[1]Department of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China大德路总院妇科大德路总院妇科广东省中医院[2]Traditional Chinese Medicine Department, Guangdong Second Provincial General Hospital, Guangdong Provincial Emergency Hospital, Guangzhou, China
This study is supported by the Medical Research Fund of Guangdong Province (A2022266), Doctoral Workstation Foundation of Guangdong Second Provincial General Hospital (2021BSGZ012), Guangzhou Municipal Science and Technology Bureau (202201020263), National Natural Science Foundation of China ( 81574008).
第一作者机构:[2]Traditional Chinese Medicine Department, Guangdong Second Provincial General Hospital, Guangdong Provincial Emergency Hospital, Guangzhou, China
通讯作者:
推荐引用方式(GB/T 7714):
Zheng Weilin,Xiang Dongfang,Wen Danting,et al.Identification of key modules and candidate genes associated with endometriosis based on transcriptome data via bioinformatics analysis[J].PATHOLOGY RESEARCH AND PRACTICE.2023,244:doi:10.1016/j.prp.2023.154404.
APA:
Zheng Weilin,Xiang Dongfang,Wen Danting,Luo Meicheng,Liang Xuefang&Cao Lixing.(2023).Identification of key modules and candidate genes associated with endometriosis based on transcriptome data via bioinformatics analysis.PATHOLOGY RESEARCH AND PRACTICE,244,
MLA:
Zheng Weilin,et al."Identification of key modules and candidate genes associated with endometriosis based on transcriptome data via bioinformatics analysis".PATHOLOGY RESEARCH AND PRACTICE 244.(2023)