Multi-Omics and Machine Learning Integration Identifies Key Endothelial Modules in Carotid Artery Stenosis.

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Title: Multi-Omics and Machine Learning Integration Identifies Key Endothelial Modules in Carotid Artery Stenosis.
Authors: Wu J; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China., Guo C; Department of Cardiovascular Surgery, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fuwai Hospital, Beijing, China., Zhang L; Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China., Cai G; Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China., Liu Y; Department of Cardiovascular Surgery, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fuwai Hospital, Beijing, China., Tang K; Department of Cardiovascular Surgery, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Fuwai Hospital, Beijing, China.
Source: Journal of clinical laboratory analysis [J Clin Lab Anal] 2026 Jun; Vol. 40 (11), pp. e70268. Date of Electronic Publication: 2026 May 25.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 8801384 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-2825 (Electronic) Linking ISSN: 08878013 NLM ISO Abbreviation: J Clin Lab Anal Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1098-2825
DOI:10.1002/jcla.70268