BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 37228596)

  • 1. Identification and experimental validation of mitochondria-related genes biomarkers associated with immune infiltration for sepsis.
    Shu Q; She H; Chen X; Zhong L; Zhu J; Fang L
    Front Immunol; 2023; 14():1184126. PubMed ID: 37228596
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification and validation of a novel mitochondrion-related gene signature for diagnosis and immune infiltration in sepsis.
    Hao S; Huang M; Xu X; Wang X; Song Y; Jiang W; Huo L; Gu J
    Front Immunol; 2023; 14():1196306. PubMed ID: 37398680
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Construction and validation of a mitochondria-associated genes prognostic signature and immune microenvironment characteristic of sepsis.
    Shu Q; Du Y; She H; Mo J; Zhu Z; Zhong L; He F; Fan J; Zhu J
    Int Immunopharmacol; 2024 Jan; 126():111275. PubMed ID: 37995567
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification and validation of key biomarkers based on RNA methylation genes in sepsis.
    Zhang Q; Bao X; Cui M; Wang C; Ji J; Jing J; Zhou X; Chen K; Tang L
    Front Immunol; 2023; 14():1231898. PubMed ID: 37701433
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The development of endoplasmic reticulum-related gene signatures and the immune infiltration analysis of sepsis.
    Zhou Y; Chen Y; Li J; Fu Z; Chen Q; Zhang W; Luo H; Xie M
    Front Immunol; 2023; 14():1183769. PubMed ID: 37346041
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of 7 mitochondria-related genes as diagnostic biomarkers of MDD and their correlation with immune infiltration: New insights from bioinformatics analysis.
    Liu X; Wu Y; Li M
    J Affect Disord; 2024 Mar; 349():86-100. PubMed ID: 38199392
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of sepsis-associated mitochondrial genes through RNA and single-cell sequencing approaches.
    Li S; Li X; Jiang S; Wang C; Hu Y
    BMC Med Genomics; 2024 May; 17(1):120. PubMed ID: 38702721
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine learning-based metabolism-related genes signature and immune infiltration landscape in diabetic nephropathy.
    Zhang H; Hu J; Zhu J; Li Q; Fang L
    Front Endocrinol (Lausanne); 2022; 13():1026938. PubMed ID: 36482994
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of featured necroptosis-related genes and imbalanced immune infiltration in sepsis
    She H; Tan L; Yang R; Zheng J; Wang Y; Du Y; Peng X; Li Q; Lu H; Xiang X; Hu Y; Liu L; Li T
    Front Genet; 2023; 14():1158029. PubMed ID: 37091800
    [No Abstract]   [Full Text] [Related]  

  • 10. Identification and verification of diagnostic biomarkers based on mitochondria-related genes related to immune microenvironment for preeclampsia using machine learning algorithms.
    Huang P; Song Y; Yang Y; Bai F; Li N; Liu D; Li C; Li X; Gou W; Zong L
    Front Immunol; 2023; 14():1304165. PubMed ID: 38259465
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification and validation of metabolism-related genes signature and immune infiltration landscape of rheumatoid arthritis based on machine learning.
    Guo Z; Ma Y; Wang Y; Xiang H; Cui H; Fan Z; Zhu Y; Xing D; Chen B; Tao H; Guo Z; Wu X
    Aging (Albany NY); 2023 May; 15(9):3807-3825. PubMed ID: 37166429
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of macrophage-associated genes prognostic signature predicts clinical outcome and immune infiltration for sepsis.
    Ma G; Wu X; Qi C; Yu X; Zhang F
    Sci Rep; 2024 Jan; 14(1):2026. PubMed ID: 38263335
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of immune-related endoplasmic reticulum stress genes in sepsis using bioinformatics and machine learning.
    Gong T; Liu Y; Tian Z; Zhang M; Gao H; Peng Z; Yin S; Cheung CW; Liu Y
    Front Immunol; 2022; 13():995974. PubMed ID: 36203606
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The role of pyroptosis-related genes in the diagnosis and subclassification of sepsis.
    Ding W; Huang L; Wu Y; Su J; He L; Tang Z; Zhang M
    PLoS One; 2023; 18(11):e0293537. PubMed ID: 37939116
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Contribution of prognostic ferroptosis-related subtypes classification and hub genes of sepsis.
    Ding N; Xu X; Wang Y; Li H; Cao Y; Zheng L
    Transpl Immunol; 2022 Oct; 74():101660. PubMed ID: 35787932
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification and verification of feature biomarkers associated with immune cells in neonatal sepsis.
    Liao W; Xiao H; He J; Huang L; Liao Y; Qin J; Yang Q; Qu L; Ma F; Li S
    Eur J Med Res; 2023 Feb; 28(1):105. PubMed ID: 36855207
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Diagnostic, clustering, and immune cell infiltration analysis of m6A regulators in patients with sepsis.
    Li F; Zhang Y; Peng Z; Wang Y; Zeng Z; Tang Z
    Sci Rep; 2023 Feb; 13(1):2532. PubMed ID: 36781867
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of biomarkers related to sepsis diagnosis based on bioinformatics and machine learning and experimental verification.
    Wang Q; Wang C; Zhang W; Tao Y; Guo J; Liu Y; Liu Z; Liu D; Mei J; Chen F
    Front Immunol; 2023; 14():1087691. PubMed ID: 37449204
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of macrophage-related genes in sepsis-induced ARDS using bioinformatics and machine learning.
    Li Q; Zheng H; Chen B
    Sci Rep; 2023 Jun; 13(1):9876. PubMed ID: 37336980
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification through machine learning of potential immune- related gene biomarkers associated with immune cell infiltration in myocardial infarction.
    Dong H; Yan SB; Li GS; Huang ZG; Li DM; Tang YL; Le JQ; Pan YF; Yang Z; Pan HB; Chen G; Li MJ
    BMC Cardiovasc Disord; 2023 Mar; 23(1):163. PubMed ID: 36978012
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.