BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 37449753)

  • 1. Systematical analysis of underlying markers associated with Marfan syndrome via integrated bioinformatics and machine learning strategies.
    Wang G; Liu C; Wu Q; Wang J; Tang X; Wu Z; Tang L; Zhou Y
    J Biomol Struct Dyn; 2024 Jul; 42(11):5713-5724. PubMed ID: 37449753
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A comprehensive analysis of m6A/m7G/m5C/m1A-related gene expression and immune infiltration in liver ischemia-reperfusion injury by integrating bioinformatics and machine learning algorithms.
    Meng Z; Li X; Lu S; Hua Y; Yin B; Qian B; Li Z; Zhou Y; Sergeeva I; Fu Y; Ma Y
    Eur J Med Res; 2024 Jun; 29(1):326. PubMed ID: 38867322
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrated bioinformatics combined with machine learning to analyze shared biomarkers and pathways in psoriasis and cervical squamous cell carcinoma.
    Liu L; Yin P; Yang R; Zhang G; Wu C; Zheng Y; Wu S; Liu M
    Front Immunol; 2024; 15():1351908. PubMed ID: 38863714
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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; 13():974935. PubMed ID: 36341343
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Integrated miRNA-mRNA Expression Profiles Revealing Key Molecules in Ovarian Cancer Based on Bioinformatics Analysis.
    Li C; Hong Z; Ou M; Zhu X; Zhang L; Yang X
    Biomed Res Int; 2021; 2021():6673655. PubMed ID: 34734085
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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; 25(1):435. PubMed ID: 38831425
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Identification of the Diagnostic Signature of Sepsis Based on Bioinformatic Analysis of Gene Expression and Machine Learning.
    Zhao Q; Xu N; Guo H; Li J
    Comb Chem High Throughput Screen; 2022; 25(1):21-28. PubMed ID: 33280594
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of differentially expressed genes, transcription factors, microRNAs and pathways in neutrophils of sepsis patients through bioinformatics analysis.
    Zheng Y; Peng L; He Z; Zou Z; Li F; Huang C; Li W
    Cell Mol Biol (Noisy-le-grand); 2022 Feb; 67(5):405-420. PubMed ID: 35818227
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Construction of a MicroRNA-mRNA Network Underlying Decidualized Endometriotic Cyst Stromal Cells Using Bioinformatics Analysis.
    Li J; Zhao B; Yang C; Chen Q
    Biomed Res Int; 2020; 2020():9246868. PubMed ID: 32923489
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of Pivotal MicroRNAs and Target Genes Associated with Persistent Atrial Fibrillation Based on Bioinformatics Analysis.
    Xiao S; Zhou Y; Liu Q; Zhang T; Pan D
    Comput Math Methods Med; 2021; 2021():6680211. PubMed ID: 33747117
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 28(1):92. PubMed ID: 36823662
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
    Yang C; Gong A
    Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
    [No Abstract]   [Full Text] [Related]  

  • 14. Analysis of potential genetic biomarkers and molecular mechanism of smoking-related postmenopausal osteoporosis using weighted gene co-expression network analysis and machine learning.
    Li S; Chen B; Chen H; Hua Z; Shao Y; Yin H; Wang J
    PLoS One; 2021; 16(9):e0257343. PubMed ID: 34555052
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of biomarkers of intrahepatic cholangiocarcinoma via integrated analysis of mRNA and miRNA microarray data.
    Chen Y; Liu D; Liu P; Chen Y; Yu H; Zhang Q
    Mol Med Rep; 2017 Mar; 15(3):1051-1056. PubMed ID: 28098904
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
    Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
    Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification and validation of oxidative stress-related genes in sepsis-induced myopathy.
    Zhang N; Huang D; Li X; Yan J; Yan Q; Ge W; Zhou J
    Medicine (Baltimore); 2024 May; 103(18):e37933. PubMed ID: 38701300
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
    Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
    J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
    Zhang L; Chen J; Cheng T; Yang H; Pan C; Li H
    Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bioinformatics analysis of multi-omics data identifying molecular biomarker candidates and epigenetically regulatory targets associated with retinoblastoma.
    Zeng Y; He T; Liu J; Li Z; Xie F; Chen C; Xing Y
    Medicine (Baltimore); 2020 Nov; 99(47):e23314. PubMed ID: 33217867
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.