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Journal Abstract Search

571 related items for PubMed ID: 36250071

  • 21. FN1 and TGFBI are key biomarkers of macrophage immune injury in diabetic kidney disease.
    Dou F, Liu Q, Lv S, Xu Q, Wang X, Liu S, Liu G.
    Medicine (Baltimore); 2023 Nov 10; 102(45):e35794. PubMed ID: 37960829
    [Abstract] [Full Text] [Related]

  • 22. Novel ferroptosis gene biomarkers and immune infiltration profiles in diabetic kidney disease via bioinformatics.
    Huang Y, Yuan X.
    FASEB J; 2024 Jan 31; 38(2):e23421. PubMed ID: 38198194
    [Abstract] [Full Text] [Related]

  • 23. Identification of Immune Infiltration and the Potential Biomarkers in Diabetic Peripheral Neuropathy through Bioinformatics and Machine Learning Methods.
    Li W, Guo J, Chen J, Yao H, Mao R, Li C, Zhang G, Chen Z, Xu X, Wang C.
    Biomolecules; 2022 Dec 26; 13(1):. PubMed ID: 36671424
    [Abstract] [Full Text] [Related]

  • 24. Bioinformatic analysis and machine learning to identify the diagnostic biomarkers and immune infiltration in adenomyosis.
    Liu D, Yin X, Guan X, Li K.
    Front Genet; 2022 Dec 26; 13():1082709. PubMed ID: 36685847
    [Abstract] [Full Text] [Related]

  • 25. Screening Biomarkers for Systemic Lupus Erythematosus Based on Machine Learning and Exploring Their Expression Correlations With the Ratios of Various Immune Cells.
    Zhong Y, Zhang W, Hong X, Zeng Z, Chen Y, Liao S, Cai W, Xu Y, Wang G, Liu D, Tang D, Dai Y.
    Front Immunol; 2022 Dec 26; 13():873787. PubMed ID: 35757721
    [Abstract] [Full Text] [Related]

  • 26. Identification of diagnostic biomarkers of rheumatoid arthritis based on machine learning-assisted comprehensive bioinformatics and its correlation with immune cells.
    Mu KL, Ran F, Peng LQ, Zhou LL, Wu YT, Shao MH, Chen XG, Guo CM, Luo QM, Wang TJ, Liu YC, Liu G.
    Heliyon; 2024 Aug 15; 10(15):e35511. PubMed ID: 39170142
    [Abstract] [Full Text] [Related]

  • 27. Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillation.
    Wu LD, Li F, Chen JY, Zhang J, Qian LL, Wang RX.
    BMC Med Genomics; 2022 Mar 19; 15(1):64. PubMed ID: 35305619
    [Abstract] [Full Text] [Related]

  • 28. Diagnostic model constructed by five EMT-related genes for renal fibrosis and reflecting the condition of immune-related cells.
    Guo Y, Yuan Z, Hu Z, Gao Y, Guo H, Zhu H, Hong K, Cen K, Mai Y, Bai Y, Yang X.
    Front Immunol; 2023 Mar 19; 14():1161436. PubMed ID: 37266443
    [Abstract] [Full Text] [Related]

  • 29. Identification of Potential Biomarkers and Immune Infiltration Characteristics in Idiopathic Pulmonary Arterial Hypertension Using Bioinformatics Analysis.
    Zeng H, Liu X, Zhang Y.
    Front Cardiovasc Med; 2021 Mar 19; 8():624714. PubMed ID: 33598484
    [Abstract] [Full Text] [Related]

  • 30. Bioinformatics analysis identifies diagnostic biomarkers and their correlation with immune infiltration in diabetic nephropathy.
    Huang M, Zhu Z, Nong C, Liang Z, Ma J, Li G.
    Ann Transl Med; 2022 Jun 19; 10(12):669. PubMed ID: 35845512
    [Abstract] [Full Text] [Related]

  • 31. Development and validation of a new diagnostic prediction model of ENHO and NOX4 for early diagnosis of systemic sclerosis.
    Zheng L, Wu Q, Chen S, Wen J, Dong F, Meng N, Zeng W, Zhao C, Zhong X.
    Front Immunol; 2024 Jun 19; 15():1273559. PubMed ID: 38348042
    [Abstract] [Full Text] [Related]

  • 32. Identification of DTL as Related Biomarker and Immune Infiltration Characteristics of Nasopharyngeal Carcinoma via Comprehensive Strategies.
    Wang H, Zhang J.
    Int J Gen Med; 2022 Jun 19; 15():2329-2345. PubMed ID: 35264872
    [Abstract] [Full Text] [Related]

  • 33. Identification and Validation of the Diagnostic Markers for Inflammatory Bowel Disease by Bioinformatics Analysis and Machine Learning.
    Tang Q, Shi X, Xu Y, Zhou R, Zhang S, Wang X, Zhu J.
    Biochem Genet; 2024 Feb 19; 62(1):371-384. PubMed ID: 37351719
    [Abstract] [Full Text] [Related]

  • 34. Identification and validation of immune and cuproptosis - related genes for diabetic nephropathy by WGCNA and machine learning.
    Chen Y, Liao L, Wang B, Wu Z.
    Front Immunol; 2024 Feb 19; 15():1332279. PubMed ID: 38390317
    [Abstract] [Full Text] [Related]

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  • 36. Identification of novel characteristic biomarkers and immune infiltration profile for the anaplastic thyroid cancer via machine learning algorithms.
    Li C, Dong X, Yuan Q, Xu G, Di Z, Yang Y, Hou J, Zheng L, Chen W, Wu G.
    J Endocrinol Invest; 2023 Aug 19; 46(8):1633-1650. PubMed ID: 36725810
    [Abstract] [Full Text] [Related]

  • 37. Identification of novel biomarkers for childhood-onset systemic lupus erythematosus using machine learning algorithms and immune infiltration analysis.
    Deng Y, Sun Y.
    Skin Res Technol; 2024 Aug 19; 30(8):e13880. PubMed ID: 39081100
    [Abstract] [Full Text] [Related]

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  • 39. MMP14 is a diagnostic gene of intrahepatic cholangiocarcinoma associated with immune cell infiltration.
    Wu J, Guo Y, Zuo ZF, Zhu ZW, Han L.
    World J Gastroenterol; 2023 May 21; 29(19):2961-2978. PubMed ID: 37274806
    [Abstract] [Full Text] [Related]

  • 40. 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 21; 19(11):1094-1103. PubMed ID: 37115484
    [Abstract] [Full Text] [Related]

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