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 *

281 related articles for article (PubMed ID: 32323816)

  • 1. Application of weighted gene co‑expression network analysis to explore the potential diagnostic biomarkers for colorectal cancer.
    Qin L; Zeng J; Shi N; Chen L; Wang L
    Mol Med Rep; 2020 Jun; 21(6):2533-2543. PubMed ID: 32323816
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Identification of key gene modules and genes in colorectal cancer by co-expression analysis weighted gene co-expression network analysis.
    Wang P; Zheng H; Zhang J; Wang Y; Liu P; Xuan X; Li Q; Du Y
    Biosci Rep; 2020 Sep; 40(9):. PubMed ID: 32815531
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of potential biomarkers with colorectal cancer based on bioinformatics analysis and machine learning.
    Hammad A; Elshaer M; Tang X
    Math Biosci Eng; 2021 Oct; 18(6):8997-9015. PubMed ID: 34814332
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Weighted gene co-expression network analysis combined with machine learning validation to identify key hub biomarkers in colorectal cancer.
    Guo C; Xie B; Liu Q
    Funct Integr Genomics; 2022 Dec; 23(1):24. PubMed ID: 36576616
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas.
    Zhang Y; Luo J; Liu Z; Liu X; Ma Y; Zhang B; Chen Y; Li X; Feng Z; Yang N; Feng D; Wang L; Song X
    Biosci Rep; 2021 Jul; 41(7):. PubMed ID: 34308980
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of candidate biomarkers and therapeutic drugs of colorectal cancer by integrated bioinformatics analysis.
    Zheng Z; Xie J; Xiong L; Gao M; Qin L; Dai C; Liang Z; Wang Y; Xue J; Wang Q; Wang W; Li X
    Med Oncol; 2020 Oct; 37(11):104. PubMed ID: 33078282
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification Hub Genes in Colorectal Cancer by Integrating Weighted Gene Co-Expression Network Analysis and Clinical Validation
    Yuan Y; Chen J; Wang J; Xu M; Zhang Y; Sun P; Liang L
    Front Oncol; 2020; 10():638. PubMed ID: 32426282
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of potential hub genes via bioinformatics analysis combined with experimental verification in colorectal cancer.
    Zhou H; Yang Z; Yue J; Chen Y; Chen T; Mu T; Liu H; Bi X
    Mol Carcinog; 2020 Apr; 59(4):425-438. PubMed ID: 32064687
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Hub Genes and Key Pathway Identification in Colorectal Cancer Based on Bioinformatic Analysis.
    Lv J; Li L
    Biomed Res Int; 2019; 2019():1545680. PubMed ID: 31781593
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The identification of a common different gene expression signature in patients with colorectal cancer.
    Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
    Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Delineating the underlying molecular mechanisms and key genes involved in metastasis of colorectal cancer via bioinformatics analysis.
    Qi C; Chen Y; Zhou Y; Huang X; Li G; Zeng J; Ruan Z; Xie X; Zhang J
    Oncol Rep; 2018 May; 39(5):2297-2305. PubMed ID: 29517105
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
    Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
    Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Coexpression network analysis linked H2AFJ to chemoradiation resistance in colorectal cancer.
    Wang X; Ghareeb WM; Lu X; Huang Y; Huang S; Chi P
    J Cell Biochem; 2019 Jun; 120(6):10351-10362. PubMed ID: 30565747
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of Genes Related to Clinicopathological Characteristics and Prognosis of Patients with Colorectal Cancer.
    Gao X; Yang J
    DNA Cell Biol; 2020 Apr; 39(4):690-699. PubMed ID: 32027181
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
    Yang B; Dong K; Guo P; Guo P; Jie G; Zhang G; Li T
    J Comput Biol; 2020 Jan; 27(1):40-54. PubMed ID: 31424263
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Screening and Identification of Key Biomarkers in Inflammatory Breast Cancer Through Integrated Bioinformatic Analyses.
    Wu J; Lv Q; Huang H; Zhu M; Meng D
    Genet Test Mol Biomarkers; 2020 Aug; 24(8):484-491. PubMed ID: 32598242
    [No Abstract]   [Full Text] [Related]  

  • 18. Potential four‑miRNA signature associated with T stage and prognosis of patients with pancreatic ductal adenocarcinoma identified by co‑expression analysis.
    You L; Wang J; Zhang F; Zhang J; Tao H; Zheng X; Hu Y
    Mol Med Rep; 2019 Jan; 19(1):441-451. PubMed ID: 30483731
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of a five-gene signature with prognostic value in colorectal cancer.
    Sun G; Li Y; Peng Y; Lu D; Zhang F; Cui X; Zhang Q; Li Z
    J Cell Physiol; 2019 Apr; 234(4):3829-3836. PubMed ID: 30132881
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Role of COL6A3 in colorectal cancer.
    Liu W; Li L; Ye H; Tao H; He H
    Oncol Rep; 2018 Jun; 39(6):2527-2536. PubMed ID: 29620224
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.