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Journal Abstract Search

266 related items for PubMed ID: 38509983

  • 1. Identification of circadian rhythm-related gene classification patterns and immune infiltration analysis in heart failure based on machine learning.
    Wang X, Rao J, Zhang L, Liu X, Zhang Y.
    Heliyon; 2024 Mar 30; 10(6):e27049. PubMed ID: 38509983
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  • 2. WGCNA combined with machine learning algorithms for analyzing key genes and immune cell infiltration in heart failure due to ischemic cardiomyopathy.
    Kong X, Sun H, Wei K, Meng L, Lv X, Liu C, Lin F, Gu X.
    Front Cardiovasc Med; 2023 Mar 30; 10():1058834. PubMed ID: 37008314
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  • 3. Identification of m7G regulator-mediated RNA methylation modification patterns and related immune microenvironment regulation characteristics in heart failure.
    Ma C, Tu D, Xu Q, Wu Y, Song X, Guo Z, Zhao X.
    Clin Epigenetics; 2023 Feb 13; 15(1):22. PubMed ID: 36782329
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  • 4. Identifying novel circadian rhythm biomarkers for diagnosis and prognosis of melanoma by an integrated bioinformatics and machine learning approach.
    Xu Y, Zeng C, Bin J, Tang H, Li W.
    Aging (Albany NY); 2024 Jun 20; 16(16):11824-11842. PubMed ID: 39213172
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  • 5. Identification of the potential biomarkers associated with circadian rhythms in heart failure.
    Sun Q, Zhao J, Liu L, Wang X, Gu X.
    PeerJ; 2023 Jun 20; 11():e14734. PubMed ID: 36699999
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  • 7. Identifying hub circadian rhythm biomarkers and immune cell infiltration in rheumatoid arthritis.
    Wen P, Ma T, Zhang B, Hao L, Wang Y, Guo J, Song W, Wang J, Zhang Y.
    Front Immunol; 2022 Jun 20; 13():1004883. PubMed ID: 36238290
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  • 8. Uncovering the molecular mechanisms between heart failure and end-stage renal disease via a bioinformatics study.
    Bian R, Xu X, Li W.
    Front Genet; 2022 Jun 20; 13():1037520. PubMed ID: 36704339
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  • 9. Screening of Secretory Proteins Linking Major Depressive Disorder with Heart Failure Based on Comprehensive Bioinformatics Analysis and Machine Learning.
    Zhang C, Song Y, Cen L, Huang C, Zhou J, Lian J.
    Biomolecules; 2024 Jul 04; 14(7):. PubMed ID: 39062507
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  • 12. Demystifying the landscape of endometrial immune microenvironment in luteal-phase from cuprotosis: Implications for the mechanism and treatment of RPL.
    Zhao X, Wang S, Du T, Jiang Y, Zhao Y, Ma Y, Shen D, Shen Y, Ma J.
    Gene; 2024 Apr 20; 903():148191. PubMed ID: 38253297
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  • 13. Identification of potential immune-related hub genes in Parkinson's disease based on machine learning and development and validation of a diagnostic classification model.
    Xin G, Niu J, Tian Q, Fu Y, Chen L, Yi T, Tian K, Sun X, Wang N, Wang J, Zhang H, Wang L.
    PLoS One; 2023 Apr 20; 18(12):e0294984. PubMed ID: 38051734
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  • 14. Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease.
    Liu L, Liang L, Yang C, Chen Y.
    Front Immunol; 2023 Apr 20; 14():1136991. PubMed ID: 37275904
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  • 19. Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.
    Wang J, Qin D, Tao Z, Wang B, Xie Y, Wang Y, Li B, Cao J, Qiao X, Zhong S, Hu X.
    Front Immunol; 2022 Apr 20; 13():1056932. PubMed ID: 36479114
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  • 20. New insights from integrated bioinformatics analysis: the role of circadian rhythm disruption and immune infiltration in obstructive sleep apnea disease.
    Zhang X, Wang Y, Pan Z, Hu K.
    Front Immunol; 2023 Apr 20; 14():1273114. PubMed ID: 38169659
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