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 *

147 related articles for article (PubMed ID: 31881820)

  • 21. Prediction of cross-species infection propensities of viruses with receptor similarity.
    Cho M; Son HS
    Infect Genet Evol; 2019 Sep; 73():71-80. PubMed ID: 31026604
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Graph regularized L
    Gao Z; Wang YT; Wu QW; Ni JC; Zheng CH
    BMC Bioinformatics; 2020 Feb; 21(1):61. PubMed ID: 32070280
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Kinase Identification with Supervised Laplacian Regularized Least Squares.
    Li A; Xu X; Zhang H; Wang M
    PLoS One; 2015; 10(10):e0139676. PubMed ID: 26448296
    [TBL] [Abstract][Full Text] [Related]  

  • 24. PWCDA: Path Weighted Method for Predicting circRNA-Disease Associations.
    Lei X; Fang Z; Chen L; Wu FX
    Int J Mol Sci; 2018 Oct; 19(11):. PubMed ID: 30384427
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion.
    Liu D; Ma Y; Jiang X; He T
    BMC Bioinformatics; 2019 Dec; 20(Suppl 16):594. PubMed ID: 31787095
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Current status and future perspectives of computational studies on human-virus protein-protein interactions.
    Lian X; Yang X; Yang S; Zhang Z
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33693490
    [TBL] [Abstract][Full Text] [Related]  

  • 27. SKF-LDA: Similarity Kernel Fusion for Predicting lncRNA-Disease Association.
    Xie G; Meng T; Luo Y; Liu Z
    Mol Ther Nucleic Acids; 2019 Dec; 18():45-55. PubMed ID: 31514111
    [TBL] [Abstract][Full Text] [Related]  

  • 28. SGANRDA: semi-supervised generative adversarial networks for predicting circRNA-disease associations.
    Wang L; Yan X; You ZH; Zhou X; Li HY; Huang YA
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33734296
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Predicting essential genes of 41 prokaryotes by a semi-supervised method.
    Liu X; He T; Guo Z; Ren M; Luo Y
    Anal Biochem; 2020 Nov; 609():113919. PubMed ID: 32827465
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Using Network Distance Analysis to Predict lncRNA-miRNA Interactions.
    Zhang L; Yang P; Feng H; Zhao Q; Liu H
    Interdiscip Sci; 2021 Sep; 13(3):535-545. PubMed ID: 34232474
    [TBL] [Abstract][Full Text] [Related]  

  • 31. LPI-SKF: Predicting lncRNA-Protein Interactions Using Similarity Kernel Fusions.
    Zhou YK; Hu J; Shen ZA; Zhang WY; Du PF
    Front Genet; 2020; 11():615144. PubMed ID: 33362868
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network.
    Xie J; Liu S; Dai H
    Neural Netw; 2019 Oct; 118():300-309. PubMed ID: 31330270
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Gaussian interaction profile kernels for predicting drug-target interaction.
    van Laarhoven T; Nabuurs SB; Marchiori E
    Bioinformatics; 2011 Nov; 27(21):3036-43. PubMed ID: 21893517
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Completing sparse and disconnected protein-protein network by deep learning.
    Huang L; Liao L; Wu CH
    BMC Bioinformatics; 2018 Mar; 19(1):103. PubMed ID: 29566671
    [TBL] [Abstract][Full Text] [Related]  

  • 35. MiRNA-disease interaction prediction based on kernel neighborhood similarity and multi-network bidirectional propagation.
    Ma Y; He T; Ge L; Zhang C; Jiang X
    BMC Med Genomics; 2019 Dec; 12(Suppl 10):185. PubMed ID: 31865912
    [TBL] [Abstract][Full Text] [Related]  

  • 36. RWLPAP: Random Walk for lncRNA-protein Associations Prediction.
    Zhao Q; Liang D; Hu H; Ren G; Liu H
    Protein Pept Lett; 2018; 25(9):830-837. PubMed ID: 30182833
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Identifying potential association on gene-disease network via dual hypergraph regularized least squares.
    Yang H; Ding Y; Tang J; Guo F
    BMC Genomics; 2021 Aug; 22(1):605. PubMed ID: 34372777
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Integrating Bipartite Network Projection and KATZ Measure to Identify Novel CircRNA-Disease Associations.
    Zhao Q; Yang Y; Ren G; Ge E; Fan C
    IEEE Trans Nanobioscience; 2019 Oct; 18(4):578-584. PubMed ID: 31199265
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 8.