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Journal Abstract Search

713 related items for PubMed ID: 36341378

  • 1. The shared biomarkers and pathways of systemic lupus erythematosus and metabolic syndrome analyzed by bioinformatics combining machine learning algorithm and single-cell sequencing analysis.
    Wang Y, Huang Z, Xiao Y, Wan W, Yang X.
    Front Immunol; 2022; 13():1015882. PubMed ID: 36341378
    [Abstract] [Full Text] [Related]

  • 2. Exploring the shared molecular mechanisms between systemic lupus erythematosus and primary Sjögren's syndrome based on integrated bioinformatics and single-cell RNA-seq analysis.
    Cui Y, Zhang H, Wang Z, Gong B, Al-Ward H, Deng Y, Fan O, Wang J, Zhu W, Sun YE.
    Front Immunol; 2023; 14():1212330. PubMed ID: 37614232
    [Abstract] [Full Text] [Related]

  • 3. The shared circulating diagnostic biomarkers and molecular mechanisms of systemic lupus erythematosus and inflammatory bowel disease.
    Sun HW, Zhang X, Shen CC.
    Front Immunol; 2024; 15():1354348. PubMed ID: 38774864
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  • 4. 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; 152():106388. PubMed ID: 36470144
    [Abstract] [Full Text] [Related]

  • 5. 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; 15():1431452. PubMed ID: 39139563
    [Abstract] [Full Text] [Related]

  • 6. Comprehensive bioinformatics analysis reveals the crosstalk genes and immune relationship between the systemic lupus erythematosus and venous thromboembolism.
    Yu J, Yang J, He Q, Zhang Z, Xu G.
    Front Immunol; 2023 Jan; 14():1196064. PubMed ID: 37465678
    [Abstract] [Full Text] [Related]

  • 7. Identification of Diagnostic Gene Markers and Immune Infiltration in Systemic Lupus.
    Hu H, He C.
    Comput Math Methods Med; 2022 Jan; 2022():3386999. PubMed ID: 35558576
    [Abstract] [Full Text] [Related]

  • 8. Identification of key biomarkers and immune infiltration in systemic lupus erythematosus by integrated bioinformatics analysis.
    Zhao X, Zhang L, Wang J, Zhang M, Song Z, Ni B, You Y.
    J Transl Med; 2021 Jan 19; 19(1):35. PubMed ID: 33468161
    [Abstract] [Full Text] [Related]

  • 9. Unveiling shared biomarkers and therapeutic targets between systemic lupus erythematosus and heart failure through bioinformatics analysis.
    Zhou T, Pan J, Yan C, Yuan J, Song H, Han Y.
    Front Med (Lausanne); 2024 Jan 19; 11():1402010. PubMed ID: 38912340
    [Abstract] [Full Text] [Related]

  • 10. Identification of diagnostic genes for both Alzheimer's disease and Metabolic syndrome by the machine learning algorithm.
    Li J, Zhang Y, Lu T, Liang R, Wu Z, Liu M, Qin L, Chen H, Yan X, Deng S, Zheng J, Liu Q.
    Front Immunol; 2022 Jan 19; 13():1037318. PubMed ID: 36405716
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  • 14. 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 Jan 19; 13():873787. PubMed ID: 35757721
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  • 17. Identification of co-diagnostic effect genes for aortic dissection and metabolic syndrome by multiple machine learning algorithms.
    Zhang Y, Li J, Chen L, Liang R, Liu Q, Wang Z.
    Sci Rep; 2023 Sep 08; 13(1):14794. PubMed ID: 37684281
    [Abstract] [Full Text] [Related]

  • 18. Decoding the mitochondrial connection: development and validation of biomarkers for classifying and treating systemic lupus erythematosus through bioinformatics and machine learning.
    Li H, Zhou L, Zhou W, Zhang X, Shang J, Feng X, Yu L, Fan J, Ren J, Zhang R, Duan X.
    BMC Rheumatol; 2023 Dec 04; 7(1):44. PubMed ID: 38044432
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  • 19. 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 Dec 04; 13():937886. PubMed ID: 35865542
    [Abstract] [Full Text] [Related]

  • 20. Identification of hub genes, pathways, and related transcription factors in systemic lupus erythematosus: A preliminary bioinformatics analysis.
    Wang Y, Ma Q, Huo Z.
    Medicine (Baltimore); 2021 Jun 25; 100(25):e26499. PubMed ID: 34160465
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