BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

268 related articles for article (PubMed ID: 31725386)

  • 1. LDAH2V: Exploring Meta-Paths Across Multiple Networks for lncRNA-Disease Association Prediction.
    Deng L; Li W; Zhang J
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(4):1572-1581. PubMed ID: 31725386
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

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

  • 4. Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations.
    Xuan P; Pan S; Zhang T; Liu Y; Sun H
    Cells; 2019 Aug; 8(9):. PubMed ID: 31480350
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks.
    Yao D; Deng Y; Zhan X; Zhan X
    BMC Bioinformatics; 2024 Jan; 25(1):46. PubMed ID: 38287236
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MHRWR: Prediction of lncRNA-Disease Associations Based on Multiple Heterogeneous Networks.
    Zhao X; Yang Y; Yin M
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2577-2585. PubMed ID: 32086216
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. LDAEXC: LncRNA-Disease Associations Prediction with Deep Autoencoder and XGBoost Classifier.
    Lu C; Xie M
    Interdiscip Sci; 2023 Sep; 15(3):439-451. PubMed ID: 37308797
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Inferring disease and pathway associations of long non-coding RNAs using heterogeneous information network model.
    Sunil Kumar PV; Gopakumar G
    J Bioinform Comput Biol; 2019 Aug; 17(4):1950020. PubMed ID: 31617466
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

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

  • 14. Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs.
    Xuan P; Gong Z; Cui H; Li B; Zhang T
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35362511
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs.
    Xuan P; Wang S; Cui H; Zhao Y; Zhang T; Wu P
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 36088549
    [TBL] [Abstract][Full Text] [Related]  

  • 16. LDAI-ISPS: LncRNA-Disease Associations Inference Based on Integrated Space Projection Scores.
    Zhang Y; Chen M; Li A; Cheng X; Jin H; Liu Y
    Int J Mol Sci; 2020 Feb; 21(4):. PubMed ID: 32098405
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model.
    Ji BY; You ZH; Cheng L; Zhou JR; Alghazzawi D; Li LP
    Sci Rep; 2020 Apr; 10(1):6658. PubMed ID: 32313121
    [TBL] [Abstract][Full Text] [Related]  

  • 20. HEGANLDA: A Computational Model for Predicting Potential Lncrna-Disease Associations Based On Multiple Heterogeneous Networks.
    Li J; Wang D; Yang Z; Liu M
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):388-398. PubMed ID: 34932483
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.