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

Bibliographic Details
Published in:Journal of Clinical Laboratory Analysis Vol. 40; no. 11; pp. 1 - 14
Main Authors: Wu, Jiayi, Guo, Chunguang, Zhang, Linfeng, Cai, Gaopo, Liu, Yi, Tang, Kai
Format: Journal Article
Published: Wiley-Blackwell Jun2026
Online Access:View this record in EBSCOhost
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      dt: Jun2026
      vid: 40
      iid: 11
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1002/jcla.70268
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        atl: Multi‐Omics and Machine Learning Integration Identifies Key Endothelial Modules in Carotid Artery Stenosis.
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        au:
          Wu, Jiayi
          Guo, Chunguang
          Zhang, Linfeng
          Cai, Gaopo
          Liu, Yi
          Tang, Kai
        affil: Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, China
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      pubtype: Academic Journal
      doctype: Journal Article
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    language: English
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