BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

403 related articles for article (PubMed ID: 24975600)

  • 21. MAMDA: Inferring microRNA-Disease associations with manifold alignment.
    Yan F; Zheng Y; Jia W; Hou S; Xiao R
    Comput Biol Med; 2019 Jul; 110():156-163. PubMed ID: 31154259
    [TBL] [Abstract][Full Text] [Related]  

  • 22. RBMMMDA: predicting multiple types of disease-microRNA associations.
    Chen X; Yan CC; Zhang X; Li Z; Deng L; Zhang Y; Dai Q
    Sci Rep; 2015 Sep; 5():13877. PubMed ID: 26347258
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Improved low-rank matrix recovery method for predicting miRNA-disease association.
    Peng L; Peng M; Liao B; Huang G; Liang W; Li K
    Sci Rep; 2017 Jul; 7(1):6007. PubMed ID: 28729528
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Prediction of Small Molecule-MicroRNA Associations by Sparse Learning and Heterogeneous Graph Inference.
    Yin J; Chen X; Wang CC; Zhao Y; Sun YZ
    Mol Pharm; 2019 Jul; 16(7):3157-3166. PubMed ID: 31136190
    [TBL] [Abstract][Full Text] [Related]  

  • 25. FKL-Spa-LapRLS: an accurate method for identifying human microRNA-disease association.
    Jiang L; Xiao Y; Ding Y; Tang J; Guo F
    BMC Genomics; 2018 Dec; 19(Suppl 10):911. PubMed ID: 30598109
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Predicting potential miRNA-disease associations based on more reliable negative sample selection.
    Guo R; Chen H; Wang W; Wu G; Lv F
    BMC Bioinformatics; 2022 Oct; 23(1):432. PubMed ID: 36253735
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identifying human microRNA-disease associations by a new diffusion-based method.
    Liao B; Ding S; Chen H; Li Z; Cai L
    J Bioinform Comput Biol; 2015 Aug; 13(4):1550014. PubMed ID: 26004789
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.
    Ji C; Wang Y; Gao Z; Li L; Ni J; Zheng C
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2049-2059. PubMed ID: 33735084
    [TBL] [Abstract][Full Text] [Related]  

  • 30. DNRLMF-MDA:Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases.
    Yan C; Wang J; Ni P; Lan W; Wu FX; Pan Y
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(1):233-243. PubMed ID: 29990253
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. RFLMDA: A Novel Reinforcement Learning-Based Computational Model for Human MicroRNA-Disease Association Prediction.
    Cui L; Lu Y; Sun J; Fu Q; Xu X; Wu H; Chen J
    Biomolecules; 2021 Dec; 11(12):. PubMed ID: 34944479
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Deep-belief network for predicting potential miRNA-disease associations.
    Chen X; Li TH; Zhao Y; Wang CC; Zhu CC
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 34020550
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Prediction of disease-related interactions between microRNAs and environmental factors based on a semi-supervised classifier.
    Chen X; Liu MX; Cui QH; Yan GY
    PLoS One; 2012; 7(8):e43425. PubMed ID: 22937049
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A heterogeneous label propagation approach to explore the potential associations between miRNA and disease.
    Chen X; Zhang DH; You ZH
    J Transl Med; 2018 Dec; 16(1):348. PubMed ID: 30537965
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prediction of miRNA-Disease Associations by Cascade Forest Model Based on Stacked Autoencoder.
    Hu X; Yin Z; Zeng Z; Peng Y
    Molecules; 2023 Jun; 28(13):. PubMed ID: 37446675
    [TBL] [Abstract][Full Text] [Related]  

  • 37. WBNPMD: weighted bipartite network projection for microRNA-disease association prediction.
    Xie G; Fan Z; Sun Y; Wu C; Ma L
    J Transl Med; 2019 Sep; 17(1):322. PubMed ID: 31547811
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Prediction of Disease-related microRNAs through Integrating Attributes of microRNA Nodes and Multiple Kinds of Connecting Edges.
    Xuan P; Li L; Zhang T; Zhang Y; Song Y
    Molecules; 2019 Aug; 24(17):. PubMed ID: 31455026
    [TBL] [Abstract][Full Text] [Related]  

  • 40. FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases.
    Sun Y; Zhu Z; You ZH; Zeng Z; Huang ZA; Huang YA
    BMC Syst Biol; 2018 Dec; 12(Suppl 9):121. PubMed ID: 30598090
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 21.