BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 34153790)

  • 1. Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer.
    Hossain MJ; Chowdhury UN; Islam MB; Uddin S; Ahmed MB; Quinn JMW; Moni MA
    Comput Biol Med; 2021 Aug; 135():104539. PubMed ID: 34153790
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. An age stratified analysis of the biomarkers in patients with colorectal cancer.
    Yao H; Li C; Tan X
    Sci Rep; 2021 Nov; 11(1):22464. PubMed ID: 34789836
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of Critical Genes and Five Prognostic Biomarkers Associated with Colorectal Cancer.
    Huang Z; Yang Q; Huang Z
    Med Sci Monit; 2018 Jul; 24():4625-4633. PubMed ID: 29973580
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. A network-based predictive gene expression signature for recurrence risks in stage II colorectal cancer.
    Yang WJ; Wang HB; Wang WD; Bai PY; Lu HX; Sun CH; Liu ZS; Guan DK; Yang GW; Zhang GL
    Cancer Med; 2020 Jan; 9(1):179-193. PubMed ID: 31724326
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer.
    Liu X; Bing Z; Wu J; Zhang J; Zhou W; Ni M; Meng Z; Liu S; Tian J; Zhang X; Li Y; Jia S; Guo S
    Med Sci Monit; 2020 Jan; 26():e918906. PubMed ID: 31893510
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification and verification of HCAR3 and INSL5 as new potential therapeutic targets of colorectal cancer.
    Yang X; Wei W; Tan S; Guo L; Qiao S; Yao B; Wang Z
    World J Surg Oncol; 2021 Aug; 19(1):248. PubMed ID: 34419055
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification and validation of an immune prognostic signature in colorectal cancer.
    Li M; Wang H; Li W; Peng Y; Xu F; Shang J; Dong S; Bu L; Wang H; Wei W; Hu Q; Liu L; Zhao Q
    Int Immunopharmacol; 2020 Nov; 88():106868. PubMed ID: 32771948
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysis.
    Dai GP; Wang LP; Wen YQ; Ren XQ; Zuo SG
    Oncol Lett; 2020 Jan; 19(1):388-398. PubMed ID: 31897151
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.
    Liang B; Li C; Zhao J
    Med Oncol; 2016 Oct; 33(10):111. PubMed ID: 27581154
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of 6 Hub Proteins and Protein Risk Signature of Colorectal Cancer.
    Yue T; Liu C; Zhu J; Huang Z; Guo S; Zhang Y; Xu H; Liu Y; Wang P; Chen S
    Biomed Res Int; 2020; 2020():6135060. PubMed ID: 33376727
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A five-immune-related genes-based prognostic signature for colorectal cancer.
    Zhu L; Wang H; Wang Z
    Int Immunopharmacol; 2020 Nov; 88():106866. PubMed ID: 32781411
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrated analysis of RNA-binding proteins in human colorectal cancer.
    Fan X; Liu L; Shi Y; Guo F; Wang H; Zhao X; Zhong D; Li G
    World J Surg Oncol; 2020 Aug; 18(1):222. PubMed ID: 32828126
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Construction of a Colorectal Cancer Prognostic Risk Model and Screening of Prognostic Risk Genes Using Machine-Learning Algorithms.
    Du X; Qi H; Ji W; Li P; Hua R; Hu W; Qi F
    Comput Math Methods Med; 2022; 2022():9408839. PubMed ID: 36267311
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.