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Journal Abstract Search

253 related items for PubMed ID: 30059315

  • 1. LPGNMF: Predicting Long Non-Coding RNA and Protein Interaction Using Graph Regularized Nonnegative Matrix Factorization.
    Zhang T, Wang M, Xi J, Li A.
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(1):189-197. PubMed ID: 30059315
    [Abstract] [Full Text] [Related]

  • 2. Prediction of lncRNA-protein interactions using HeteSim scores based on heterogeneous networks.
    Xiao Y, Zhang J, Deng L.
    Sci Rep; 2017 Jun 16; 7(1):3664. PubMed ID: 28623317
    [Abstract] [Full Text] [Related]

  • 3. SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions.
    Zhang W, Yue X, Tang G, Wu W, Huang F, Zhang X.
    PLoS Comput Biol; 2018 Dec 16; 14(12):e1006616. PubMed ID: 30533006
    [Abstract] [Full Text] [Related]

  • 4. A path-based computational model for long non-coding RNA-protein interaction prediction.
    Zhang H, Ming Z, Fan C, Zhao Q, Liu H.
    Genomics; 2020 Mar 16; 112(2):1754-1760. PubMed ID: 31639442
    [Abstract] [Full Text] [Related]

  • 5. Predicting lncRNA-Protein Interaction With Weighted Graph-Regularized Matrix Factorization.
    Sun X, Cheng L, Liu J, Xie C, Yang J, Li F.
    Front Genet; 2021 Mar 16; 12():690096. PubMed ID: 34335693
    [Abstract] [Full Text] [Related]

  • 6. LPI-ETSLP: lncRNA-protein interaction prediction using eigenvalue transformation-based semi-supervised link prediction.
    Hu H, Zhu C, Ai H, Zhang L, Zhao J, Zhao Q, Liu H.
    Mol Biosyst; 2017 Aug 22; 13(9):1781-1787. PubMed ID: 28702594
    [Abstract] [Full Text] [Related]

  • 7. Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model.
    Li A, Ge M, Zhang Y, Peng C, Wang M.
    Biomed Res Int; 2015 Aug 22; 2015():671950. PubMed ID: 26839884
    [Abstract] [Full Text] [Related]

  • 8. A deep learning model for plant lncRNA-protein interaction prediction with graph attention.
    Wekesa JS, Meng J, Luan Y.
    Mol Genet Genomics; 2020 Sep 22; 295(5):1091-1102. PubMed ID: 32409904
    [Abstract] [Full Text] [Related]

  • 9. Matrix factorization-based data fusion for the prediction of lncRNA-disease associations.
    Fu G, Wang J, Domeniconi C, Yu G.
    Bioinformatics; 2018 May 01; 34(9):1529-1537. PubMed ID: 29228285
    [Abstract] [Full Text] [Related]

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  • 14. DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations.
    Zeng M, Lu C, Fei Z, Wu FX, Li Y, Wang J, Li M.
    IEEE/ACM Trans Comput Biol Bioinform; 2021 May 01; 18(6):2353-2363. PubMed ID: 32248123
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  • 15. RWLPAP: Random Walk for lncRNA-protein Associations Prediction.
    Zhao Q, Liang D, Hu H, Ren G, Liu H.
    Protein Pept Lett; 2018 May 01; 25(9):830-837. PubMed ID: 30182833
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  • 17. PLAIDOH: a novel method for functional prediction of long non-coding RNAs identifies cancer-specific LncRNA activities.
    Pyfrom SC, Luo H, Payton JE.
    BMC Genomics; 2019 Feb 15; 20(1):137. PubMed ID: 30767760
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  • 18. LPI-NRLMF: lncRNA-protein interaction prediction by neighborhood regularized logistic matrix factorization.
    Liu H, Ren G, Hu H, Zhang L, Ai H, Zhang W, Zhao Q.
    Oncotarget; 2017 Nov 28; 8(61):103975-103984. PubMed ID: 29262614
    [Abstract] [Full Text] [Related]

  • 19. Recent Advances on the Semi-Supervised Learning for Long Non-Coding RNA-Protein Interactions Prediction: A Review.
    Zhong L, Ming Z, Xie G, Fan C, Piao X.
    Protein Pept Lett; 2020 Nov 28; 27(5):385-391. PubMed ID: 31654509
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