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Journal Abstract Search

492 related items for PubMed ID: 37454542

  • 1. Identification of four-gene signature to diagnose osteoarthritis through bioinformatics and machine learning methods.
    Chen Z, Wang W, Zhang Y, Xue X, Hua Y.
    Cytokine; 2023 Sep; 169():156300. PubMed ID: 37454542
    [Abstract] [Full Text] [Related]

  • 2. Machine learning and weighted gene co-expression network analysis identify a three-gene signature to diagnose rheumatoid arthritis.
    Wu YK, Liu CD, Liu C, Wu J, Xie ZG.
    Front Immunol; 2024 Sep; 15():1387311. PubMed ID: 38711508
    [Abstract] [Full Text] [Related]

  • 3. Identification of aging-related biomarkers and immune infiltration characteristics in osteoarthritis based on bioinformatics analysis and machine learning.
    Zhou J, Huang J, Li Z, Song Q, Yang Z, Wang L, Meng Q.
    Front Immunol; 2023 Sep; 14():1168780. PubMed ID: 37503333
    [Abstract] [Full Text] [Related]

  • 4. Identification of key genes and their correlation with immune infiltration in osteoarthritis using integrative bioinformatics approaches and machine-learning strategies.
    Xia D, Wang J, Yang S, Jiang C, Yao J.
    Medicine (Baltimore); 2023 Nov 17; 102(46):e35355. PubMed ID: 37986345
    [Abstract] [Full Text] [Related]

  • 5. Identification of ion channel-related genes as diagnostic markers and potential therapeutic targets for osteoarthritis through bioinformatics and machine learning-based approaches.
    Yongming L, Yizhe X, Zhikai Q, Yupeng W, Xiang W, Mengyuan Y, Guoqing D, Hongsheng Z.
    Biomarkers; 2024 Jul 17; 29(5):285-297. PubMed ID: 38767974
    [Abstract] [Full Text] [Related]

  • 6. [Identification of Characteristic lncRNA Molecular Markers in Osteoarthritis by Integrating GEO Database and Machine Learning Strategies and Experimental Validation].
    Zhou Q, Liu J, Xin L, Fang Y, Qi Y, Hu Y.
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2023 Sep 17; 54(5):899-907. PubMed ID: 37866944
    [Abstract] [Full Text] [Related]

  • 7. Identification of novel biomarkers and immune infiltration characteristics of ischemic stroke based on comprehensive bioinformatic analysis and machine learning.
    Hu S, Cai J, Chen S, Wang Y, Ren L.
    Biochem Biophys Rep; 2024 Mar 17; 37():101595. PubMed ID: 38371524
    [Abstract] [Full Text] [Related]

  • 8. Identification of aging-related genes in diagnosing osteoarthritis via integrating bioinformatics analysis and machine learning.
    Huang J, Zhou J, Xue X, Dai T, Zhu W, Jiao S, Wu H, Meng Q.
    Aging (Albany NY); 2024 Jan 03; 16(1):153-168. PubMed ID: 38175691
    [Abstract] [Full Text] [Related]

  • 9. 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 03; 152():106388. PubMed ID: 36470144
    [Abstract] [Full Text] [Related]

  • 10. Characterizing mitochondrial features in osteoarthritis through integrative multi-omics and machine learning analysis.
    Wu Y, Hu H, Wang T, Guo W, Zhao S, Wei R.
    Front Immunol; 2024 Jan 03; 15():1414301. PubMed ID: 39026663
    [Abstract] [Full Text] [Related]

  • 11. Identification of diagnostic genes and drug prediction in metabolic syndrome-associated rheumatoid arthritis by integrated bioinformatics analysis, machine learning, and molecular docking.
    Huang Y, Yue S, Qiao J, Dong Y, Liu Y, Zhang M, Zhang C, Chen C, Tang Y, Zheng J.
    Front Immunol; 2024 Jan 03; 15():1431452. PubMed ID: 39139563
    [Abstract] [Full Text] [Related]

  • 12. A nomoscore of four genes for predicting the rupture risk in abdominal aortic aneurysm patients with osteoarthritis.
    Huang L, Zhou Z, Deng T, Sun Y, Wang R, Wu R, Liu Y, Ye Y, Wang K, Yao C.
    Gene; 2024 Dec 30; 931():148877. PubMed ID: 39173977
    [Abstract] [Full Text] [Related]

  • 13. Systems biology-based analysis exploring shared biomarkers and pathogenesis of myocardial infarction combined with osteoarthritis.
    Luo Y, Liu Y, Xue W, He W, Lv D, Zhao H.
    Front Immunol; 2024 Dec 30; 15():1398990. PubMed ID: 39086489
    [Abstract] [Full Text] [Related]

  • 14. Identification of five hub immune genes and characterization of two immune subtypes of osteoarthritis.
    Pan L, Yang F, Cao X, Zhao H, Li J, Zhang J, Guo J, Jin Z, Guan Z, Zhou F.
    Front Endocrinol (Lausanne); 2023 Dec 30; 14():1144258. PubMed ID: 37008941
    [Abstract] [Full Text] [Related]

  • 15. Exploration of the shared diagnostic genes and mechanisms between periodontitis and primary Sjögren's syndrome by integrated comprehensive bioinformatics analysis and machine learning.
    Wang S, Wang Q, Zhao K, Zhang S, Chen Z.
    Int Immunopharmacol; 2024 Nov 15; 141():112899. PubMed ID: 39142001
    [Abstract] [Full Text] [Related]

  • 16. Identification of immune-associated genes in diagnosing osteoarthritis with metabolic syndrome by integrated bioinformatics analysis and machine learning.
    Li J, Wang G, Xv X, Li Z, Shen Y, Zhang C, Zhang X.
    Front Immunol; 2023 Nov 15; 14():1134412. PubMed ID: 37138862
    [Abstract] [Full Text] [Related]

  • 17. Identification of potential biomarkers and immune-related pathways related to immune infiltration in patients with acute myocardial infarction.
    Lin Z, Xu H, Chen Y, Zhang X, Yang J.
    Transpl Immunol; 2022 Oct 15; 74():101652. PubMed ID: 35764238
    [Abstract] [Full Text] [Related]

  • 18. Identification of Diagnostic Markers in Synovial Tissue of Osteoarthritis by Weighted Gene Coexpression Network.
    Zhu YS, Yan H, Mo TT, Zhang JN, Jiang C.
    Biochem Genet; 2023 Oct 15; 61(5):2056-2075. PubMed ID: 36929359
    [Abstract] [Full Text] [Related]

  • 19. Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning.
    Zhang W, Wu Y, Yuan Y, Wang L, Yu B, Li X, Yao Z, Liang B.
    Comput Biol Med; 2024 Dec 15; 183():109239. PubMed ID: 39396400
    [Abstract] [Full Text] [Related]

  • 20. Identification of novel mitophagy-related biomarkers for Kawasaki disease by integrated bioinformatics and machine-learning algorithms.
    Wang Y, Liu Y, Wang N, Liu Z, Qian G, Li X, Huang H, Zhuo W, Xu L, Zhang J, Lv H, Gao Y.
    Transl Pediatr; 2024 Aug 31; 13(8):1439-1456. PubMed ID: 39263286
    [Abstract] [Full Text] [Related]

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