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Journal Abstract Search

216 related items for PubMed ID: 30182833

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations.
    Li J, Li X, Feng X, Wang B, Zhao B, Wang L.
    BMC Bioinformatics; 2019 Dec 03; 20(1):626. PubMed ID: 31795943
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  • 4. A Bipartite Network-based Method for Prediction of Long Non-coding RNA-protein Interactions.
    Ge M, Li A, Wang M.
    Genomics Proteomics Bioinformatics; 2016 Feb 03; 14(1):62-71. PubMed ID: 26917505
    [Abstract] [Full Text] [Related]

  • 5. 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
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  • 7. IRWRLDA: improved random walk with restart for lncRNA-disease association prediction.
    Chen X, You ZH, Yan GY, Gong DW.
    Oncotarget; 2016 Sep 06; 7(36):57919-57931. PubMed ID: 27517318
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  • 10. Global network random walk for predicting potential human lncRNA-disease associations.
    Gu C, Liao B, Li X, Cai L, Li Z, Li K, Yang J.
    Sci Rep; 2017 Sep 29; 7(1):12442. PubMed ID: 28963512
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  • 11. IRWNRLPI: Integrating Random Walk and Neighborhood Regularized Logistic Matrix Factorization for lncRNA-Protein Interaction Prediction.
    Zhao Q, Zhang Y, Hu H, Ren G, Zhang W, Liu H.
    Front Genet; 2018 Sep 29; 9():239. PubMed ID: 30023002
    [Abstract] [Full Text] [Related]

  • 12. 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 29; 14(12):e1006616. PubMed ID: 30533006
    [Abstract] [Full Text] [Related]

  • 13. A novel computational model for predicting potential LncRNA-disease associations based on both direct and indirect features of LncRNA-disease pairs.
    Xiao Y, Xiao Z, Feng X, Chen Z, Kuang L, Wang L.
    BMC Bioinformatics; 2020 Dec 02; 21(1):555. PubMed ID: 33267800
    [Abstract] [Full Text] [Related]

  • 14. 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
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  • 17. Inferring novel lncRNA-disease associations based on a random walk model of a lncRNA functional similarity network.
    Sun J, Shi H, Wang Z, Zhang C, Liu L, Wang L, He W, Hao D, Liu S, Zhou M.
    Mol Biosyst; 2014 Aug 01; 10(8):2074-81. PubMed ID: 24850297
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  • 19. Predicting lncRNA-disease associations using network topological similarity based on deep mining heterogeneous networks.
    Zhang H, Liang Y, Peng C, Han S, Du W, Li Y.
    Math Biosci; 2019 Sep 01; 315():108229. PubMed ID: 31323239
    [Abstract] [Full Text] [Related]

  • 20. 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 Sep 01; 17(1):189-197. PubMed ID: 30059315
    [Abstract] [Full Text] [Related]

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