BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

250 related articles for article (PubMed ID: 31038664)

  • 1. Adaptive boosting-based computational model for predicting potential miRNA-disease associations.
    Zhao Y; Chen X; Yin J
    Bioinformatics; 2019 Nov; 35(22):4730-4738. PubMed ID: 31038664
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression.
    Zhou S; Wang S; Wu Q; Azim R; Li W
    Comput Biol Chem; 2020 Apr; 85():107200. PubMed ID: 32058946
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting miRNA-disease association based on inductive matrix completion.
    Chen X; Wang L; Qu J; Guan NN; Li JQ
    Bioinformatics; 2018 Dec; 34(24):4256-4265. PubMed ID: 29939227
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategy.
    Wang CC; Chen X; Yin J; Qu J
    RNA Biol; 2019 Mar; 16(3):257-269. PubMed ID: 30646823
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An improved random forest-based computational model for predicting novel miRNA-disease associations.
    Yao D; Zhan X; Kwoh CK
    BMC Bioinformatics; 2019 Dec; 20(1):624. PubMed ID: 31795954
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel computational model based on super-disease and miRNA for potential miRNA-disease association prediction.
    Chen X; Jiang ZC; Xie D; Huang DS; Zhao Q; Yan GY; You ZH
    Mol Biosyst; 2017 May; 13(6):1202-1212. PubMed ID: 28470244
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model.
    Zhang L; Liu B; Li Z; Zhu X; Liang Z; An J
    BMC Bioinformatics; 2020 Oct; 21(1):470. PubMed ID: 33087064
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting microRNA-disease associations using bipartite local models and hubness-aware regression.
    Chen X; Cheng JY; Yin J
    RNA Biol; 2018; 15(9):1192-1205. PubMed ID: 30196756
    [TBL] [Abstract][Full Text] [Related]  

  • 9. EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction.
    Chen X; Huang L; Xie D; Zhao Q
    Cell Death Dis; 2018 Jan; 9(1):3. PubMed ID: 29305594
    [TBL] [Abstract][Full Text] [Related]  

  • 10. In silico prediction of potential miRNA-disease association using an integrative bioinformatics approach based on kernel fusion.
    Guan NN; Wang CC; Zhang L; Huang L; Li JQ; Piao X
    J Cell Mol Med; 2020 Jan; 24(1):573-587. PubMed ID: 31747722
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of potential disease-associated microRNAs using structural perturbation method.
    Zeng X; Liu L; Lü L; Zou Q
    Bioinformatics; 2018 Jul; 34(14):2425-2432. PubMed ID: 29490018
    [TBL] [Abstract][Full Text] [Related]  

  • 12. PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.
    You ZH; Huang ZA; Zhu Z; Yan GY; Li ZW; Wen Z; Chen X
    PLoS Comput Biol; 2017 Mar; 13(3):e1005455. PubMed ID: 28339468
    [TBL] [Abstract][Full Text] [Related]  

  • 13. GIMDA: Graphlet interaction-based MiRNA-disease association prediction.
    Chen X; Guan NN; Li JQ; Yan GY
    J Cell Mol Med; 2018 Mar; 22(3):1548-1561. PubMed ID: 29272076
    [TBL] [Abstract][Full Text] [Related]  

  • 14. WBSMDA: Within and Between Score for MiRNA-Disease Association prediction.
    Chen X; Yan CC; Zhang X; You ZH; Deng L; Liu Y; Zhang Y; Dai Q
    Sci Rep; 2016 Feb; 6():21106. PubMed ID: 26880032
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Ensemble of decision tree reveals potential miRNA-disease associations.
    Chen X; Zhu CC; Yin J
    PLoS Comput Biol; 2019 Jul; 15(7):e1007209. PubMed ID: 31329575
    [TBL] [Abstract][Full Text] [Related]  

  • 16. NDAMDA: Network distance analysis for MiRNA-disease association prediction.
    Chen X; Wang LY; Huang L
    J Cell Mol Med; 2018 May; 22(5):2884-2895. PubMed ID: 29532987
    [TBL] [Abstract][Full Text] [Related]  

  • 17. ELLPMDA: Ensemble learning and link prediction for miRNA-disease association prediction.
    Chen X; Zhou Z; Zhao Y
    RNA Biol; 2018; 15(6):807-818. PubMed ID: 29619882
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering.
    Nie R; Li Z; You ZH; Bao W; Li J
    BMC Med Inform Decis Mak; 2021 Aug; 21(Suppl 1):254. PubMed ID: 34461870
    [TBL] [Abstract][Full Text] [Related]  

  • 19. BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction.
    Chen X; Xie D; Wang L; Zhao Q; You ZH; Liu H
    Bioinformatics; 2018 Sep; 34(18):3178-3186. PubMed ID: 29701758
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Novel Neighborhood-Based Computational Model for Potential MiRNA-Disease Association Prediction.
    Liu Y; Li X; Feng X; Wang L
    Comput Math Methods Med; 2019; 2019():5145646. PubMed ID: 30800172
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.