Identification of endocrine-disrupting chemicals targeting key DCM-associated genes via bioinformatics and machine learning.

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作者： Shu,Li ^[1] ; Shuice,Liu ^[2] ; Xuefei,Sun ^[3] ; Liying,Hao ^[4] ; Qinghua,Gao ^[5]

作者单位： Department of Health and Intelligent Engineering, College of Health Management, China Medical University, Shenyang, Liaoning Province 110122, PR China.. Electronic address: lishu@cmu.edu.cn. ^[1] Department of Pharmacology, Shenyang Medical College, Shenyang, Liaoning Province 110001, PR China.. Electronic address: ryukzi@hotmail.com. ^[2] Department of Pharmaceutical Toxicology, School of Pharmacy, China Medical University, Shenyang 110122, PR China.. Electronic address: 1394083351@qq.com. ^[3] Department of Pharmaceutical Toxicology, School of Pharmacy, China Medical University, Shenyang 110122, PR China.. Electronic address: lyhao@cmu.edu.cn. ^[4] Department of Developmental Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, and Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, PR China.. Electronic address: qhgao@cmu.edu.cn. ^[5]

关键词 Bioinformatics analysis Dilated cardiomyopathy EDCs-genes-disease Interactions Endocrine-disrupting chemicals Machine learning

主题词人类(Humans);心肌病, 扩张型(Cardiomyopathy, Dilated);心脏(Heart);计算生物学(Computational Biology);心脏病(Heart Diseases);内分泌干扰物(Endocrine Disruptors)

DOI 10.1016/j.ecoenv.2024.116168

PMID 38460409

发布时间 2024-03-29

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