BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1070 related articles for article (PubMed ID: 27345524)

  • 1. Long non-coding RNAs and complex diseases: from experimental results to computational models.
    Chen X; Yan CC; Zhang X; You ZH
    Brief Bioinform; 2017 Jul; 18(4):558-576. PubMed ID: 27345524
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computational models for lncRNA function prediction and functional similarity calculation.
    Chen X; Sun YZ; Guan NN; Qu J; Huang ZA; Zhu ZX; Li JQ
    Brief Funct Genomics; 2019 Feb; 18(1):58-82. PubMed ID: 30247501
    [TBL] [Abstract][Full Text] [Related]  

  • 3. LncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets.
    Wang Y; Juan L; Peng J; Zang T; Wang Y
    BMC Bioinformatics; 2019 Dec; 20(Suppl 16):582. PubMed ID: 31787106
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Novel human lncRNA-disease association inference based on lncRNA expression profiles.
    Chen X; Yan GY
    Bioinformatics; 2013 Oct; 29(20):2617-24. PubMed ID: 24002109
    [TBL] [Abstract][Full Text] [Related]  

  • 5. KATZLDA: KATZ measure for the lncRNA-disease association prediction.
    Chen X
    Sci Rep; 2015 Nov; 5():16840. PubMed ID: 26577439
    [TBL] [Abstract][Full Text] [Related]  

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

  • 7. LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs.
    Xuan P; Jia L; Zhang T; Sheng N; Li X; Li J
    Int J Mol Sci; 2019 Sep; 20(18):. PubMed ID: 31510011
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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; 315():108229. PubMed ID: 31323239
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrating Multiple Heterogeneous Networks for Novel LncRNA-Disease Association Inference.
    Zhang J; Zhang Z; Chen Z; Deng L
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(2):396-406. PubMed ID: 28489543
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Novel Method for LncRNA-Disease Association Prediction Based on an lncRNA-Disease Association Network.
    Ping P; Wang L; Kuang L; Ye S; Iqbal MFB; Pei T
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(2):688-693. PubMed ID: 29993639
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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; 21(1):555. PubMed ID: 33267800
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting binary, discrete and continued lncRNA-disease associations via a unified framework based on graph regression.
    Shi JY; Huang H; Zhang YN; Long YX; Yiu SM
    BMC Med Genomics; 2017 Dec; 10(Suppl 4):65. PubMed ID: 29322937
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Recent advances in machine learning methods for predicting LncRNA and disease associations.
    Tan J; Li X; Zhang L; Du Z
    Front Cell Infect Microbiol; 2022; 12():1071972. PubMed ID: 36530425
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features.
    Zhang X; Wang J; Li J; Chen W; Liu C
    BMC Med Genomics; 2018 Dec; 11(Suppl 6):120. PubMed ID: 30598114
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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; 20(1):626. PubMed ID: 31795943
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting lncRNA-disease associations and constructing lncRNA functional similarity network based on the information of miRNA.
    Chen X
    Sci Rep; 2015 Aug; 5():13186. PubMed ID: 26278472
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Laplacian normalization and bi-random walks on heterogeneous networks for predicting lncRNA-disease associations.
    Wen Y; Han G; Anh VV
    BMC Syst Biol; 2018 Dec; 12(Suppl 9):122. PubMed ID: 30598088
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of lncRNA-disease associations based on inductive matrix completion.
    Lu C; Yang M; Luo F; Wu FX; Li M; Pan Y; Li Y; Wang J
    Bioinformatics; 2018 Oct; 34(19):3357-3364. PubMed ID: 29718113
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identifying Interactions Between Long Noncoding RNAs and Diseases Based on Computational Methods.
    Lan W; Huang L; Lai D; Chen Q
    Methods Mol Biol; 2018; 1754():205-221. PubMed ID: 29536445
    [TBL] [Abstract][Full Text] [Related]  

  • 20. IRWRLDA: improved random walk with restart for lncRNA-disease association prediction.
    Chen X; You ZH; Yan GY; Gong DW
    Oncotarget; 2016 Sep; 7(36):57919-57931. PubMed ID: 27517318
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 54.