These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
277 related articles for article (PubMed ID: 35409235)
1. 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]
2. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. 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 Jul; 28(7):4306-4316. PubMed ID: 38709611 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Learning Multi-Types of Neighbor Node Attributes and Semantics by Heterogeneous Graph Transformer and Multi-View Attention for Drug-Related Side-Effect Prediction. Xuan P; Li P; Cui H; Wang M; Nakaguchi T; Zhang T Molecules; 2023 Sep; 28(18):. PubMed ID: 37764319 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction. Xuan P; Zhang Y; Cui H; Zhang T; Guo M; Nakaguchi T Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33839743 [TBL] [Abstract][Full Text] [Related]
18. Gating-Enhanced Hierarchical Structure Learning in Hyperbolic Space and Multi-scale Neighbor Topology Learning in Euclidean Space for Prediction of Microbe-Drug Associations. Xuan P; Guan C; Chen S; Gu J; Wang X; Nakaguchi T; Zhang T J Chem Inf Model; 2024 Oct; 64(19):7806-7815. PubMed ID: 39324410 [TBL] [Abstract][Full Text] [Related]
19. Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets. Gao L; Cui H; Zhang T; Sheng N; Xuan P Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34850815 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]