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Journal Abstract Search

669 related items for PubMed ID: 36823662

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. 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 23; 152():106388. PubMed ID: 36470144
    [Abstract] [Full Text] [Related]

  • 3. 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 23; 13():937886. PubMed ID: 35865542
    [Abstract] [Full Text] [Related]

  • 4. Exploration of effective biomarkers for venous thrombosis embolism in Behçet's disease based on comprehensive bioinformatics analysis.
    Liu C, Wang Y, Wu Z, Tang X, Wang G, Wang J.
    Sci Rep; 2024 Jul 10; 14(1):15884. PubMed ID: 38987624
    [Abstract] [Full Text] [Related]

  • 5. Immune-associated pivotal biomarkers identification and competing endogenous RNA network construction in post-operative atrial fibrillation by comprehensive bioinformatics and machine learning strategies.
    Zhou Y, Wu Q, Ni G, Hong Y, Xiao S, Liu C, Yu Z.
    Front Immunol; 2022 Jul 10; 13():974935. PubMed ID: 36341343
    [Abstract] [Full Text] [Related]

  • 6. Identification of immune-related genes in diagnosing atherosclerosis with rheumatoid arthritis through bioinformatics analysis and machine learning.
    Liu F, Huang Y, Liu F, Wang H.
    Front Immunol; 2023 Jul 10; 14():1126647. PubMed ID: 36969166
    [Abstract] [Full Text] [Related]

  • 7. Identification and experimental validation of KMO as a critical immune-associated mitochondrial gene in unstable atherosclerotic plaque.
    Liao FJ, Shen SL, Bao HL, Li H, Zhao QW, Chen L, Gong CW, Xiong CZ, Liu WP, Li W, Liu DN.
    J Transl Med; 2024 Jul 18; 22(1):668. PubMed ID: 39026250
    [Abstract] [Full Text] [Related]

  • 8. 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 18; 37():101595. PubMed ID: 38371524
    [Abstract] [Full Text] [Related]

  • 9. Identifying of immune-associated genes for assessing the obesity-associated risk to the offspring in maternal obesity: A bioinformatics and machine learning.
    Shang Y, Wang X, Su S, Ji F, Shao D, Duan C, Chen T, Liang C, Zhang D, Lu H.
    CNS Neurosci Ther; 2024 Mar 18; 30(3):e14700. PubMed ID: 38544384
    [Abstract] [Full Text] [Related]

  • 10. Identification of immune cell infiltration and diagnostic biomarkers in unstable atherosclerotic plaques by integrated bioinformatics analysis and machine learning.
    Wang J, Kang Z, Liu Y, Li Z, Liu Y, Liu J.
    Front Immunol; 2022 Mar 18; 13():956078. PubMed ID: 36211422
    [Abstract] [Full Text] [Related]

  • 11. 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 18; 183():109239. PubMed ID: 39396400
    [Abstract] [Full Text] [Related]

  • 12. Identification of diagnostic candidate genes in COVID-19 patients with sepsis.
    Li J, Pu S, Shu L, Guo M, He Z.
    Immun Inflamm Dis; 2024 Oct 18; 12(10):e70033. PubMed ID: 39377750
    [Abstract] [Full Text] [Related]

  • 13. Screening and identification of potential hub genes and immune cell infiltration in the synovial tissue of rheumatoid arthritis by bioinformatic approach.
    Feng ZW, Tang YC, Sheng XY, Wang SH, Wang YB, Liu ZC, Liu JM, Geng B, Xia YY.
    Heliyon; 2023 Jan 18; 9(1):e12799. PubMed ID: 36699262
    [Abstract] [Full Text] [Related]

  • 14. Novel diagnostic biomarkers related to immune infiltration in Parkinson's disease by bioinformatics analysis.
    Zhang P, Zhao L, Li H, Shen J, Li H, Xing Y.
    Front Neurosci; 2023 Jan 18; 17():1083928. PubMed ID: 36777638
    [Abstract] [Full Text] [Related]

  • 15. 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 Jan 18; 14():1134412. PubMed ID: 37138862
    [Abstract] [Full Text] [Related]

  • 16. Identification of key biomarkers for predicting CAD progression in inflammatory bowel disease via machine-learning and bioinformatics strategies.
    Tang X, Zhou Y, Chen Z, Liu C, Wu Z, Zhou Y, Zhang F, Lu X, Tang L.
    J Cell Mol Med; 2024 Mar 18; 28(6):e18175. PubMed ID: 38451044
    [Abstract] [Full Text] [Related]

  • 17. Integrated transcriptomic analysis and machine learning for characterizing diagnostic biomarkers and immune cell infiltration in fetal growth restriction.
    Wei X, Liu Z, Cai L, Shi D, Sun Q, Zhang L, Zhou F, Sun L.
    Front Immunol; 2024 Mar 18; 15():1381795. PubMed ID: 39295860
    [Abstract] [Full Text] [Related]

  • 18. Identification of common mechanisms and biomarkers for dermatomyositis and atherosclerosis based on bioinformatics analysis.
    Ma Y, Lai J, Wan Q, Chen Z, Sun L, Zhang Q, Guan C, Li Q, Wu J.
    Skin Res Technol; 2024 Jun 18; 30(6):e13808. PubMed ID: 38899746
    [Abstract] [Full Text] [Related]

  • 19. Identification of shared gene signatures and pathways for diagnosing osteoporosis with sarcopenia through integrated bioinformatics analysis and machine learning.
    Zhou X, Zhao L, Zhang Z, Chen Y, Chen G, Miao J, Li X.
    BMC Musculoskelet Disord; 2024 Jun 03; 25(1):435. PubMed ID: 38831425
    [Abstract] [Full Text] [Related]

  • 20. Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in pediatric sepsis by integrating bioinformatics and machine learning.
    Zhang WY, Chen ZH, An XX, Li H, Zhang HL, Wu SJ, Guo YQ, Zhang K, Zeng CL, Fang XM.
    World J Pediatr; 2023 Nov 03; 19(11):1094-1103. PubMed ID: 37115484
    [Abstract] [Full Text] [Related]

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