BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

188 related articles for article (PubMed ID: 30046354)

  • 1. A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAs.
    Zhao H; Kuang L; Wang L; Xuan Z
    Comput Math Methods Med; 2018; 2018():6747453. PubMed ID: 30046354
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of microRNA-disease associations based on distance correlation set.
    Zhao H; Kuang L; Wang L; Ping P; Xuan Z; Pei T; Wu Z
    BMC Bioinformatics; 2018 Apr; 19(1):141. PubMed ID: 29665774
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity.
    Chen X; Yan CC; Luo C; Ji W; Zhang Y; Dai Q
    Sci Rep; 2015 Jun; 5():11338. PubMed ID: 26061969
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier.
    Yu J; Xuan Z; Feng X; Zou Q; Wang L
    BMC Bioinformatics; 2019 Jul; 20(1):396. PubMed ID: 31315558
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Prioritizing candidate disease-related long non-coding RNAs by walking on the heterogeneous lncRNA and disease network.
    Zhou M; Wang X; Li J; Hao D; Wang Z; Shi H; Han L; Zhou H; Sun J
    Mol Biosyst; 2015 Mar; 11(3):760-9. PubMed ID: 25502053
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. A Novel Network-Based Computational Model for Prediction of Potential LncRNA⁻Disease Association.
    Liu Y; Feng X; Zhao H; Xuan Z; Wang L
    Int J Mol Sci; 2019 Mar; 20(7):. PubMed ID: 30925672
    [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. 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]  

  • 13. 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]  

  • 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; 18(6):2353-2363. PubMed ID: 32248123
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. A Novel Model for Predicting Associations between Diseases and LncRNA-miRNA Pairs Based on a Newly Constructed Bipartite Network.
    Zhou S; Xuan Z; Wang L; Ping P; Pei T
    Comput Math Methods Med; 2018; 2018():6789089. PubMed ID: 29853986
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information.
    Fan XN; Zhang SW; Zhang SY; Zhu K; Lu S
    BMC Bioinformatics; 2019 Feb; 20(1):87. PubMed ID: 30782113
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.
    Xuan P; Sheng N; Zhang T; Liu Y; Guo Y
    Int J Mol Sci; 2019 Aug; 20(17):. PubMed ID: 31480319
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.