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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 37284317)

  • 1. Drug-disease association prediction with literature based multi-feature fusion.
    Kang H; Hou L; Gu Y; Lu X; Li J; Li Q
    Front Pharmacol; 2023; 14():1205144. PubMed ID: 37284317
    [No Abstract]   [Full Text] [Related]  

  • 2. REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction.
    Gu Y; Zheng S; Yin Q; Jiang R; Li J
    Comput Biol Med; 2022 Nov; 150():106127. PubMed ID: 36182762
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MIFAM-DTI: a drug-target interactions predicting model based on multi-source information fusion and attention mechanism.
    Li J; Sun L; Liu L; Li Z
    Front Genet; 2024; 15():1381997. PubMed ID: 38770418
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Drug repositioning based on the heterogeneous information fusion graph convolutional network.
    Cai L; Lu C; Xu J; Meng Y; Wang P; Fu X; Zeng X; Su Y
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34378011
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Drug Repositioning Based on the Enhanced Message Passing and Hypergraph Convolutional Networks.
    Huang W; Li Z; Kang Y; Ye X; Feng W
    Biomolecules; 2022 Nov; 12(11):. PubMed ID: 36359016
    [TBL] [Abstract][Full Text] [Related]  

  • 6. DRGCL: Drug Repositioning via Semantic-enriched Graph Contrastive Learning.
    Jia X; Sun X; Wang K; Li M
    IEEE J Biomed Health Inform; 2024 Mar; PP():. PubMed ID: 38437145
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Computational drug repositioning based on multi-similarities bilinear matrix factorization.
    Yang M; Wu G; Zhao Q; Li Y; Wang J
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33147616
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MDF-SA-DDI: predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism.
    Lin S; Wang Y; Zhang L; Chu Y; Liu Y; Fang Y; Jiang M; Wang Q; Zhao B; Xiong Y; Wei DQ
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34671814
    [TBL] [Abstract][Full Text] [Related]  

  • 9. EFMSDTI: Drug-target interaction prediction based on an efficient fusion of multi-source data.
    Zhang Y; Wu M; Wang S; Chen W
    Front Pharmacol; 2022; 13():1009996. PubMed ID: 36210804
    [TBL] [Abstract][Full Text] [Related]  

  • 10. PDDGCN: A Parasitic Disease-Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network.
    Wang X; Chen G; Hu H; Zhang M; Rao Y; Yue Z
    Interdiscip Sci; 2024 Mar; 16(1):231-242. PubMed ID: 38294648
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction.
    Li J; Liu T; Wang J; Li Q; Ning C; Yang Y
    Artif Intell Med; 2021 Aug; 118():102115. PubMed ID: 34412838
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of microbe-drug associations based on a modified graph attention variational autoencoder and random forest.
    Wang B; Ma F; Du X; Zhang G; Li J
    Front Microbiol; 2024; 15():1394302. PubMed ID: 38881658
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-view contrastive heterogeneous graph attention network for lncRNA-disease association prediction.
    Zhao X; Wu J; Zhao X; Yin M
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36528809
    [TBL] [Abstract][Full Text] [Related]  

  • 15. DDA-SKF: Predicting Drug-Disease Associations Using Similarity Kernel Fusion.
    Gao CQ; Zhou YK; Xin XH; Min H; Du PF
    Front Pharmacol; 2021; 12():784171. PubMed ID: 35095495
    [TBL] [Abstract][Full Text] [Related]  

  • 16. GLNNMDA: a multimodal prediction model for microbe-drug associations based on global and local features.
    Kuang H; Liu X; Tan H; Zhang Z; Zeng B; Wang L
    Sci Rep; 2024 Sep; 14(1):20847. PubMed ID: 39242712
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques.
    Thafar MA; Olayan RS; Ashoor H; Albaradei S; Bajic VB; Gao X; Gojobori T; Essack M
    J Cheminform; 2020 Jun; 12(1):44. PubMed ID: 33431036
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-channel graph attention autoencoders for disease-related lncRNAs prediction.
    Sheng N; Huang L; Wang Y; Zhao J; Xuan P; Gao L; Cao Y
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35108355
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel graph attention model for predicting frequencies of drug-side effects from multi-view data.
    Zhao H; Zheng K; Li Y; Wang J
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34213525
    [TBL] [Abstract][Full Text] [Related]  

  • 20. In silico drug repositioning based on the integration of chemical, genomic and pharmacological spaces.
    Chen H; Zhang Z; Zhang J
    BMC Bioinformatics; 2021 Feb; 22(1):52. PubMed ID: 33557749
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.