BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

273 related articles for article (PubMed ID: 34634106)

  • 1. Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction.
    Xuan P; Wang D; Cui H; Zhang T; Nakaguchi T
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34634106
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integration of Neighbor Topologies Based on Meta-Paths and Node Attributes for Predicting Drug-Related Diseases.
    Xuan P; Lu Z; Zhang T; Liu Y; Nakaguchi T
    Int J Mol Sci; 2022 Mar; 23(7):. PubMed ID: 35409235
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction.
    Xuan P; Bai H; Cui H; Zhang X; Nakaguchi T; Zhang T
    Comput Biol Med; 2023 Sep; 164():107265. PubMed ID: 37531860
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction.
    Zhang H; Cui H; Zhang T; Cao Y; Xuan P
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35136910
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Graph generative and adversarial strategy-enhanced node feature learning and self-calibrated pairwise attribute encoding for prediction of drug-related side effects.
    Xuan P; Xu K; Cui H; Nakaguchi T; Zhang T
    Front Pharmacol; 2023; 14():1257842. PubMed ID: 37731739
    [No Abstract]   [Full Text] [Related]  

  • 6. multi-type neighbors enhanced global topology and pairwise attribute learning for drug-protein interaction prediction.
    Xuan P; Zhang X; Zhang Y; Hu K; Nakaguchi T; Zhang T
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35514190
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction.
    Sheng N; Cui H; Zhang T; Xuan P
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32444875
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks.
    Xuan P; Sun H; Wang X; Zhang T; Pan S
    Int J Mol Sci; 2019 Jul; 20(15):. PubMed ID: 31349729
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction.
    Xuan P; Wang M; Liu Y; Wang D; Zhang T; Nakaguchi T
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35470853
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of Disease-related microRNAs through Integrating Attributes of microRNA Nodes and Multiple Kinds of Connecting Edges.
    Xuan P; Li L; Zhang T; Zhang Y; Song Y
    Molecules; 2019 Aug; 24(17):. PubMed ID: 31455026
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction.
    Xuan P; Zhao Y; Cui H; Zhan L; Jin Q; Zhang T; Nakaguchi T
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):1480-1491. PubMed ID: 36173783
    [TBL] [Abstract][Full Text] [Related]  

  • 12. GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction.
    Xuan P; Fan M; Cui H; Zhang T; Nakaguchi T
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34718408
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Heterogeneous multi-scale neighbor topologies enhanced drug-disease association prediction.
    Xuan P; Meng X; Gao L; Zhang T; Nakaguchi T
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35393616
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures.
    Song Y; Cui H; Zhang T; Yang T; Li X; Xuan P
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(5):2963-2974. PubMed ID: 34133286
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction.
    Hu K; Cui H; Zhang T; Sun C; Xuan P
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35108362
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction.
    Xuan P; Wang X; Cui H; Meng X; Nakaguchi T; Zhang T
    IEEE J Biomed Health Inform; 2024 May; PP():. PubMed ID: 38709611
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations.
    Xuan P; Gao L; Sheng N; Zhang T; Nakaguchi T
    IEEE J Biomed Health Inform; 2021 May; 25(5):1793-1804. PubMed ID: 33216722
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.