BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

367 related articles for article (PubMed ID: 31490960)

  • 1. Classification of early and late stage liver hepatocellular carcinoma patients from their genomics and epigenomics profiles.
    Kaur H; Bhalla S; Raghava GPS
    PLoS One; 2019; 14(9):e0221476. PubMed ID: 31490960
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Expression based biomarkers and models to classify early and late-stage samples of Papillary Thyroid Carcinoma.
    Bhalla S; Kaur H; Kaur R; Sharma S; Raghava GPS
    PLoS One; 2020; 15(4):e0231629. PubMed ID: 32324757
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using epigenomics data to predict gene expression in lung cancer.
    Li J; Ching T; Huang S; Garmire LX
    BMC Bioinformatics; 2015; 16 Suppl 5(Suppl 5):S10. PubMed ID: 25861082
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Using Illumina Infinium HumanMethylation 450K BeadChip to explore genome‑wide DNA methylation profiles in a human hepatocellular carcinoma cell line.
    Sun N; Zhang J; Zhang C; Shi Y; Zhao B; Jiao A; Chen B
    Mol Med Rep; 2018 Nov; 18(5):4446-4456. PubMed ID: 30221710
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Integrative analysis of DNA methylation and gene expression reveals hepatocellular carcinoma-specific diagnostic biomarkers.
    Cheng J; Wei D; Ji Y; Chen L; Yang L; Li G; Wu L; Hou T; Xie L; Ding G; Li H; Li Y
    Genome Med; 2018 May; 10(1):42. PubMed ID: 29848370
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CpG Methylation Signature Predicts Recurrence in Early-Stage Hepatocellular Carcinoma: Results From a Multicenter Study.
    Qiu J; Peng B; Tang Y; Qian Y; Guo P; Li M; Luo J; Chen B; Tang H; Lu C; Cai M; Ke Z; He W; Zheng Y; Xie D; Li B; Yuan Y
    J Clin Oncol; 2017 Mar; 35(7):734-742. PubMed ID: 28068175
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Four differentially methylated gene pairs to predict the prognosis for early stage hepatocellular carcinoma patients.
    Liu S; Miao C; Liu J; Wang CC; Lu XJ
    J Cell Physiol; 2018 Sep; 233(9):6583-6590. PubMed ID: 29115664
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Integrative analysis of DNA methylation and gene expression identify a six epigenetic driver signature for predicting prognosis in hepatocellular carcinoma.
    Li GX; Ding ZY; Wang YW; Liu TT; Chen WX; Wu JJ; Xu WQ; Zhu P; Zhang BX
    J Cell Physiol; 2019 Jul; 234(7):11942-11950. PubMed ID: 30536816
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel microRNA signature predicts survival in liver hepatocellular carcinoma after hepatectomy.
    Fu Q; Yang F; Xiang T; Huai G; Yang X; Wei L; Yang H; Deng S
    Sci Rep; 2018 May; 8(1):7933. PubMed ID: 29785036
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Aberrant CpG island hypermethylation along multistep hepatocarcinogenesis.
    Lee S; Lee HJ; Kim JH; Lee HS; Jang JJ; Kang GH
    Am J Pathol; 2003 Oct; 163(4):1371-8. PubMed ID: 14507645
    [TBL] [Abstract][Full Text] [Related]  

  • 11. HDNA methylation data-based molecular subtype classification related to the prognosis of patients with hepatocellular carcinoma.
    He H; Chen D; Cui S; Wu G; Piao H; Wang X; Ye P; Jin S
    BMC Med Genomics; 2020 Aug; 13(1):118. PubMed ID: 32831081
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of a CIMP-associated prognostic model for hepatocellular carcinoma.
    Li G; Xu W; Zhang L; Liu T; Jin G; Song J; Wu J; Wang Y; Chen W; Zhang C; Chen X; Ding Z; Zhu P; Zhang B
    EBioMedicine; 2019 Sep; 47():128-141. PubMed ID: 31492561
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of Platform-Independent Diagnostic Biomarker Panel for Hepatocellular Carcinoma Using Large-Scale Transcriptomics Data.
    Kaur H; Dhall A; Kumar R; Raghava GPS
    Front Genet; 2019; 10():1306. PubMed ID: 31998366
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Enhancing the prediction of IDC breast cancer staging from gene expression profiles using hybrid feature selection methods and deep learning architecture.
    Kishore A; Venkataramana L; Prasad DVV; Mohan A; Jha B
    Med Biol Eng Comput; 2023 Nov; 61(11):2895-2919. PubMed ID: 37530887
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Methylation profiling of twenty promoter-CpG islands of genes which may contribute to hepatocellular carcinogenesis.
    Yu J; Ni M; Xu J; Zhang H; Gao B; Gu J; Chen J; Zhang L; Wu M; Zhen S; Zhu J
    BMC Cancer; 2002 Nov; 2():29. PubMed ID: 12433278
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Novel significant stage-specific differentially expressed genes in hepatocellular carcinoma.
    Sarathi A; Palaniappan A
    BMC Cancer; 2019 Jul; 19(1):663. PubMed ID: 31277598
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying novel transcript biomarkers for hepatocellular carcinoma (HCC) using RNA-Seq datasets and machine learning.
    Gupta R; Kleinjans J; Caiment F
    BMC Cancer; 2021 Aug; 21(1):962. PubMed ID: 34445986
    [TBL] [Abstract][Full Text] [Related]  

  • 18. PretiMeth: precise prediction models for DNA methylation based on single methylation mark.
    Tang J; Zou J; Zhang X; Fan M; Tian Q; Fu S; Gao S; Fan S
    BMC Genomics; 2020 May; 21(1):364. PubMed ID: 32414326
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Genome-wide DNA methylation analysis during non-alcoholic steatohepatitis-related multistage hepatocarcinogenesis: comparison with hepatitis virus-related carcinogenesis.
    Kuramoto J; Arai E; Tian Y; Funahashi N; Hiramoto M; Nammo T; Nozaki Y; Takahashi Y; Ito N; Shibuya A; Ojima H; Sukeda A; Seki Y; Kasama K; Yasuda K; Kanai Y
    Carcinogenesis; 2017 Mar; 38(3):261-270. PubMed ID: 28426876
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating gene expression from DNA methylation and copy number variation: A deep learning regression model for multi-omics integration.
    Seal DB; Das V; Goswami S; De RK
    Genomics; 2020 Jul; 112(4):2833-2841. PubMed ID: 32234433
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.