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 *

273 related articles for article (PubMed ID: 29943160)

  • 21. Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks.
    Shen C; Luo J; Ouyang W; Ding P; Wu H
    J Chem Inf Model; 2020 Dec; 60(12):6709-6721. PubMed ID: 33166451
    [TBL] [Abstract][Full Text] [Related]  

  • 22. HNMDA: heterogeneous network-based miRNA-disease association prediction.
    Peng LH; Sun CN; Guan NN; Li JQ; Chen X
    Mol Genet Genomics; 2018 Aug; 293(4):983-995. PubMed ID: 29687157
    [TBL] [Abstract][Full Text] [Related]  

  • 23. GRMDA: Graph Regression for MiRNA-Disease Association Prediction.
    Chen X; Yang JR; Guan NN; Li JQ
    Front Physiol; 2018; 9():92. PubMed ID: 29515453
    [TBL] [Abstract][Full Text] [Related]  

  • 24. NCMCMDA: miRNA-disease association prediction through neighborhood constraint matrix completion.
    Chen X; Sun LG; Zhao Y
    Brief Bioinform; 2021 Jan; 22(1):485-496. PubMed ID: 31927572
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. 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]  

  • 27. Maximal entropy random walk on heterogenous network for MIRNA-disease Association prediction.
    Niu YW; Liu H; Wang GH; Yan GY
    Math Biosci; 2018 Dec; 306():1-9. PubMed ID: 30336146
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. HAMDA: Hybrid Approach for MiRNA-Disease Association prediction.
    Chen X; Niu YW; Wang GH; Yan GY
    J Biomed Inform; 2017 Dec; 76():50-58. PubMed ID: 29097278
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Predicting potential small molecule-miRNA associations utilizing truncated schatten p-norm.
    Wang S; Liu T; Ren C; Wu W; Zhao Z; Pang S; Zhang Y
    Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37366591
    [TBL] [Abstract][Full Text] [Related]  

  • 31. HTFSMMA: Higher-Order Topological Guided Small Molecule-MicroRNA Associations Prediction.
    Sun XY; Hou ZJ; Zhang WG; Chen Y; Yao HB
    J Comput Biol; 2024 Sep; 31(9):886-906. PubMed ID: 39109562
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Identifying and Exploiting Potential miRNA-Disease Associations With Neighborhood Regularized Logistic Matrix Factorization.
    He BS; Qu J; Zhao Q
    Front Genet; 2018; 9():303. PubMed ID: 30131824
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Three-layer heterogeneous network based on the integration of CircRNA information for MiRNA-disease association prediction.
    Qu J; Liu S; Li H; Zhou J; Bian Z; Song Z; Jiang Z
    PeerJ Comput Sci; 2024; 10():e2070. PubMed ID: 38983241
    [TBL] [Abstract][Full Text] [Related]  

  • 35. AMCSMMA: Predicting Small Molecule-miRNA Potential Associations Based on Accurate Matrix Completion.
    Wang S; Ren C; Zhang Y; Pang S; Qiao S; Wu W; Lin B
    Cells; 2023 Apr; 12(8):. PubMed ID: 37190032
    [TBL] [Abstract][Full Text] [Related]  

  • 36. BHCMDA: A New Biased Heat Conduction Based Method for Potential MiRNA-Disease Association Prediction.
    Zhu X; Wang X; Zhao H; Pei T; Kuang L; Wang L
    Front Genet; 2020; 11():384. PubMed ID: 32425979
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Novel Human miRNA-Disease Association Inference Based on Random Forest.
    Chen X; Wang CC; Yin J; You ZH
    Mol Ther Nucleic Acids; 2018 Dec; 13():568-579. PubMed ID: 30439645
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Inferring microRNA-disease associations by random walk on a heterogeneous network with multiple data sources.
    Liu Y; Zeng X; He Z; Zou Q
    IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(4):905-915. PubMed ID: 27076459
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Identifying novel associations between small molecules and miRNAs based on integrated molecular networks.
    Lv Y; Wang S; Meng F; Yang L; Wang Z; Wang J; Chen X; Jiang W; Li Y; Li X
    Bioinformatics; 2015 Nov; 31(22):3638-44. PubMed ID: 26198104
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network.
    Luo J; Xiao Q
    J Biomed Inform; 2017 Feb; 66():194-203. PubMed ID: 28104458
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.