BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

196 related articles for article (PubMed ID: 36479313)

  • 1. Screening of Hub Genes in Hepatocellular Carcinoma Based on Network Analysis and Machine Learning.
    Zhang Y; Xie Y; Huang X; Zhang L; Shu K
    Comput Math Methods Med; 2022; 2022():7300788. PubMed ID: 36479313
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of potential crucial genes associated with the pathogenesis and prognosis of liver hepatocellular carcinoma.
    Shi L; Shang X; Nie K; Lin Z; Zheng M; Wang M; Yuan H; Zhu Z
    J Clin Pathol; 2021 Aug; 74(8):504-512. PubMed ID: 33004423
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of Multiple Hub Genes and Pathways in Hepatocellular Carcinoma: A Bioinformatics Analysis.
    Liu J; Han F; Ding J; Liang X; Liu J; Huang D; Zhang C
    Biomed Res Int; 2021; 2021():8849415. PubMed ID: 34337056
    [TBL] [Abstract][Full Text] [Related]  

  • 4. WGCNA combined with machine learning to find potential biomarkers of liver cancer.
    Lv JH; Hou AJ; Zhang SH; Dong JJ; Kuang HX; Yang L; Jiang H
    Medicine (Baltimore); 2023 Dec; 102(50):e36536. PubMed ID: 38115320
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification and validation of real hub genes in hepatocellular carcinoma based on weighted gene co-expression network analysis.
    Qiao Y; Yuan F; Wang X; Hu J; Mao Y; Zhao Z
    Cancer Biomark; 2022; 35(2):227-243. PubMed ID: 36120772
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of 40S ribosomal protein S8 as a novel biomarker for alcohol‑associated hepatocellular carcinoma using weighted gene co‑expression network analysis.
    Bi N; Sun Y; Lei S; Zeng Z; Zhang Y; Sun C; Yu C
    Oncol Rep; 2020 Aug; 44(2):611-627. PubMed ID: 32627011
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning algorithm and deep neural networks identified a novel subtype in hepatocellular carcinoma.
    Zi Q; Cui H; Liang W; Chi Q
    Cancer Biomark; 2022; 35(3):305-320. PubMed ID: 36373311
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of potential key genes in very early hepatocellular carcinoma.
    Wu M; Liu Z; Li X; Zhang A; Lin D; Li N
    World J Surg Oncol; 2019 May; 17(1):77. PubMed ID: 31043166
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
    Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
    Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
    [No Abstract]   [Full Text] [Related]  

  • 10. Anoikis-related signature in liver hepatocellular carcinoma defines the YBX1/SPP1 axis by machine learning strategies and valid experiments.
    Ma Y; She X; Zhao J; Liu S; Li C; Wang Q
    J Gene Med; 2023 Oct; 25(10):e3516. PubMed ID: 37118998
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Feature selection with the Fisher score followed by the Maximal Clique Centrality algorithm can accurately identify the hub genes of hepatocellular carcinoma.
    Li C; Xu J
    Sci Rep; 2019 Nov; 9(1):17283. PubMed ID: 31754223
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Construction of liver hepatocellular carcinoma-specific lncRNA-miRNA-mRNA network based on bioinformatics analysis.
    Wang R; Hu X; Liu X; Bai L; Gu J; Li Q
    PLoS One; 2021; 16(4):e0249881. PubMed ID: 33861762
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
    Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
    Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identifying hub genes and dysregulated pathways in hepatocellular carcinoma.
    Jin B; Wang W; Du G; Huang GZ; Han LT; Tang ZY; Fan DG; Li J; Zhang SZ
    Eur Rev Med Pharmacol Sci; 2015 Feb; 19(4):592-601. PubMed ID: 25753876
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of cancer stem cell characteristics in liver hepatocellular carcinoma by WGCNA analysis of transcriptome stemness index.
    Bai KH; He SY; Shu LL; Wang WD; Lin SY; Zhang QY; Li L; Cheng L; Dai YJ
    Cancer Med; 2020 Jun; 9(12):4290-4298. PubMed ID: 32311840
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Integrative analysis identifies key mRNA biomarkers for diagnosis, prognosis, and therapeutic targets of HCV-associated hepatocellular carcinoma.
    Zhang Y; Tang Y; Guo C; Li G
    Aging (Albany NY); 2021 May; 13(9):12865-12895. PubMed ID: 33946043
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Research on Predicting the Occurrence of Hepatocellular Carcinoma Based on Notch Signal-Related Genes Using Machine Learning Algorithms.
    Zhou D; Cao S; Xie H
    Turk J Gastroenterol; 2023 Jul; 34(7):760-770. PubMed ID: 37051625
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Uncovering the potential differentially expressed miRNAs as diagnostic biomarkers for hepatocellular carcinoma based on machine learning in The Cancer Genome Atlas database.
    Zhao X; Dou J; Cao J; Wang Y; Gao Q; Zeng Q; Liu W; Liu B; Cui Z; Teng L; Zhang J; Zhao C
    Oncol Rep; 2020 Jun; 43(6):1771-1784. PubMed ID: 32236623
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

  • 20. CDK1-PLK1/SGOL2/ANLN pathway mediating abnormal cell division in cell cycle may be a critical process in hepatocellular carcinoma.
    Li L; Huang K; Zhao H; Chen B; Ye Q; Yue J
    Cell Cycle; 2020 May; 19(10):1236-1252. PubMed ID: 32275843
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.