These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

523 related articles for article (PubMed ID: 36968495)

  • 1. Machine learning algorithms assisted identification of post-stroke depression associated biological features.
    Zhang X; Wang X; Wang S; Zhang Y; Wang Z; Yang Q; Wang S; Cao R; Yu B; Zheng Y; Dang Y
    Front Neurosci; 2023; 17():1146620. PubMed ID: 36968495
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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; 37():101595. PubMed ID: 38371524
    [TBL] [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; 13():937886. PubMed ID: 35865542
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Analysis of signature genes and association with immune cells infiltration in pediatric septic shock.
    Fan J; Shi S; Qiu Y; Liu M; Shu Q
    Front Immunol; 2022; 13():1056750. PubMed ID: 36439140
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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; 30(3):e14700. PubMed ID: 38544384
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model.
    Xie Y; Shi H; Han B
    BMC Pediatr; 2023 Feb; 23(1):90. PubMed ID: 36829193
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of immune-related genes in diagnosing retinopathy of prematurity with sepsis through bioinformatics analysis and machine learning.
    Chen H; Chen E; Lu Y; Xu Y
    Front Genet; 2023; 14():1264873. PubMed ID: 38028617
    [No Abstract]   [Full Text] [Related]  

  • 8. 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; 13(1):14794. PubMed ID: 37684281
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploration of comorbidity mechanisms and potential therapeutic targets of rheumatoid arthritis and pigmented villonodular synovitis using machine learning and bioinformatics analysis.
    Heng H; Li D; Su W; Liu X; Yu D; Bian Z; Li J
    Front Genet; 2022; 13():1095058. PubMed ID: 36685864
    [No Abstract]   [Full Text] [Related]  

  • 10. Co-expression modules construction by WGCNA and identify potential hub genes and regulation pathways of postpartum depression.
    Deng Z; Cai W; Liu J; Deng A; Yang Y; Tu J; Yuan C; Xiao H; Gao W
    Front Biosci (Landmark Ed); 2021 Nov; 26(11):1019-1030. PubMed ID: 34856750
    [No Abstract]   [Full Text] [Related]  

  • 11. Screening of potential biomarkers in peripheral blood of patients with depression based on weighted gene co-expression network analysis and machine learning algorithms.
    Wang Z; Meng Z; Chen C
    Front Psychiatry; 2022; 13():1009911. PubMed ID: 36325528
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of a miRNA-mRNA regulatory network for post-stroke depression: a machine-learning approach.
    Qiu H; Shen L; Shen Y; Mao Y
    Front Neurol; 2023; 14():1096911. PubMed ID: 37528851
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Gene expression analysis in endometriosis: Immunopathology insights, transcription factors and therapeutic targets.
    Geng R; Huang X; Li L; Guo X; Wang Q; Zheng Y; Guo X
    Front Immunol; 2022; 13():1037504. PubMed ID: 36532015
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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; 74():101652. PubMed ID: 35764238
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of hub genes and their correlation with immune infiltrating cells in membranous nephropathy: an integrated bioinformatics analysis.
    Han M; Wang Y; Huang X; Li P; Liang X; Wang R; Bao K
    Eur J Med Res; 2023 Nov; 28(1):525. PubMed ID: 37974210
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of Key Genes and Immunological Features Associated with Copper Metabolism in Parkinson's Disease by Bioinformatics Analysis.
    Zhang H; Nagai J; Hao L; Jiang X
    Mol Neurobiol; 2024 Feb; 61(2):799-811. PubMed ID: 37659036
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dysregulation and imbalance of innate and adaptive immunity are involved in the cardiomyopathy progression.
    He B; Quan LP; Cai CY; Yu DY; Yan W; Wei QJ; Zhang Z; Huang XN; Liu L
    Front Cardiovasc Med; 2022; 9():973279. PubMed ID: 36148059
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying the hub gene and immune infiltration of Parkinson's disease using bioinformatical methods.
    Liu SH; Wang YL; Jiang SM; Wan XJ; Yan JH; Liu CF
    Brain Res; 2022 Jun; 1785():147879. PubMed ID: 35278479
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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; 10():1058834. PubMed ID: 37008314
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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; 9(1):e12799. PubMed ID: 36699262
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 27.