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Journal Abstract Search

197 related items for PubMed ID: 37336980

  • 1. Identification of macrophage-related genes in sepsis-induced ARDS using bioinformatics and machine learning.
    Li Q, Zheng H, Chen B.
    Sci Rep; 2023 Jun 19; 13(1):9876. PubMed ID: 37336980
    [Abstract] [Full Text] [Related]

  • 2. Exploring the ferroptosis-related gene lipocalin 2 as a potential biomarker for sepsis-induced acute respiratory distress syndrome based on machine learning.
    Zhan J, Chen J, Deng L, Lu Y, Luo L.
    Biochim Biophys Acta Mol Basis Dis; 2024 Apr 19; 1870(4):167101. PubMed ID: 38423372
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  • 3. Integrated Analysis of Gene Co-Expression Network and Prediction Model Indicates Immune-Related Roles of the Identified Biomarkers in Sepsis and Sepsis-Induced Acute Respiratory Distress Syndrome.
    Ming T, Dong M, Song X, Li X, Kong Q, Fang Q, Wang J, Wu X, Xia Z.
    Front Immunol; 2022 Apr 19; 13():897390. PubMed ID: 35844622
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  • 4. New insights into the role of mitochondrial metabolic dysregulation and immune infiltration in septic cardiomyopathy by integrated bioinformatics analysis and experimental validation.
    Li Y, Yu J, Li R, Zhou H, Chang X.
    Cell Mol Biol Lett; 2024 Jan 30; 29(1):21. PubMed ID: 38291374
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  • 6. Identification and Validation of Autophagy-Related Genes in Sepsis-Induced Acute Respiratory Distress Syndrome and Immune Infiltration.
    Sun M, Yang Q, Hu C, Zhang H, Xing L.
    J Inflamm Res; 2022 Jan 30; 15():2199-2212. PubMed ID: 35411170
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  • 8. Identification of crucial genes for predicting the risk of atherosclerosis with system lupus erythematosus based on comprehensive bioinformatics analysis and machine learning.
    Liu C, Zhou Y, Zhou Y, Tang X, Tang L, Wang J.
    Comput Biol Med; 2023 Jan 30; 152():106388. PubMed ID: 36470144
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  • 9. A Five-Genes Based Diagnostic Signature for Sepsis-Induced ARDS.
    Xu N, Guo H, Li X, Zhao Q, Li J.
    Pathol Oncol Res; 2021 Jan 30; 27():580801. PubMed ID: 34393665
    [Abstract] [Full Text] [Related]

  • 10. Immune-associated biomarkers identification for diagnosing carotid plaque progression with uremia through systematical bioinformatics and machine learning analysis.
    Liu C, Tang L, Zhou Y, Tang X, Zhang G, Zhu Q, Zhou Y.
    Eur J Med Res; 2023 Feb 23; 28(1):92. PubMed ID: 36823662
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  • 11. Bioinformatics and system biology approach to identify the influences among COVID-19, ARDS and sepsis.
    Li P, Li T, Zhang Z, Dai X, Zeng B, Li Z, Li Z.
    Front Immunol; 2023 Feb 23; 14():1152186. PubMed ID: 37261353
    [Abstract] [Full Text] [Related]

  • 12. Identification and validation of potential genes for the diagnosis of sepsis by bioinformatics and 2-sample Mendelian randomization study.
    Xu Z, Li L.
    Medicine (Baltimore); 2024 Jul 19; 103(29):e38917. PubMed ID: 39029061
    [Abstract] [Full Text] [Related]

  • 13. Investigating the Intercellular Communication Network of Immune Cell in Acute Respiratory Distress Syndrome with Sepsis.
    Tao P, He J, Ai T, Fan Y, Zeng W.
    Comput Math Methods Med; 2022 Jul 19; 2022():4586648. PubMed ID: 35222683
    [Abstract] [Full Text] [Related]

  • 14. Identification of key immune genes for sepsis-induced ARDS based on bioinformatics analysis.
    Chen Y, Qiu C, Cai W.
    Bioengineered; 2022 Jan 19; 13(1):697-708. PubMed ID: 34898369
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  • 15. Identification of Immune-Associated Genes in Diagnosing Aortic Valve Calcification With Metabolic Syndrome by Integrated Bioinformatics Analysis and Machine Learning.
    Zhou Y, Shi W, Zhao D, Xiao S, Wang K, Wang J.
    Front Immunol; 2022 Jan 19; 13():937886. PubMed ID: 35865542
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  • 17. [Screening for Characteristic Genes of Different Traditional Chinese Medicine Syndromes of Psoriasis Vulgaris: A Study Based on Bioinformatics and Machine Learning].
    Liu X, Jia H, Wang L, Wang Z, Xu M, Li Y, Wang R.
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 Mar 20; 55(2):337-345. PubMed ID: 38645867
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