BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

294 related articles for article (PubMed ID: 36642408)

  • 1. A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions.
    Feng YH; Zhang SW; Feng YY; Zhang QQ; Shi MH; Shi JY
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36642408
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A dual graph neural network for drug-drug interactions prediction based on molecular structure and interactions.
    Ma M; Lei X
    PLoS Comput Biol; 2023 Jan; 19(1):e1010812. PubMed ID: 36701288
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Directed graph attention networks for predicting asymmetric drug-drug interactions.
    Feng YY; Yu H; Feng YH; Shi JY
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35470854
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MM-GANN-DDI: Multimodal Graph-Agnostic Neural Networks for Predicting Drug-Drug Interaction Events.
    Feng J; Liang Y; Yu T
    Comput Biol Med; 2023 Nov; 166():107492. PubMed ID: 37820558
    [TBL] [Abstract][Full Text] [Related]  

  • 5. deepMDDI: A deep graph convolutional network framework for multi-label prediction of drug-drug interactions.
    Feng YH; Zhang SW; Zhang QQ; Zhang CH; Shi JY
    Anal Biochem; 2022 Jun; 646():114631. PubMed ID: 35227661
    [TBL] [Abstract][Full Text] [Related]  

  • 6. TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs.
    Shi JY; Huang H; Li JX; Lei P; Zhang YN; Dong K; Yiu SM
    BMC Bioinformatics; 2018 Nov; 19(Suppl 14):411. PubMed ID: 30453924
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of Drug-Drug Interaction Using an Attention-Based Graph Neural Network on Drug Molecular Graphs.
    Feng YH; Zhang SW
    Molecules; 2022 May; 27(9):. PubMed ID: 35566354
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization.
    Yu H; Mao KT; Shi JY; Huang H; Chen Z; Dong K; Yiu SM
    BMC Syst Biol; 2018 Apr; 12(Suppl 1):14. PubMed ID: 29671393
    [TBL] [Abstract][Full Text] [Related]  

  • 9. AMDE: a novel attention-mechanism-based multidimensional feature encoder for drug-drug interaction prediction.
    Pang S; Zhang Y; Song T; Zhang X; Wang X; Rodriguez-Patón A
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34965586
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detecting drug communities and predicting comprehensive drug-drug interactions via balance regularized semi-nonnegative matrix factorization.
    Shi JY; Mao KT; Yu H; Yiu SM
    J Cheminform; 2019 Apr; 11(1):28. PubMed ID: 30963300
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DMFDDI: deep multimodal fusion for drug-drug interaction prediction.
    Gan Y; Liu W; Xu G; Yan C; Zou G
    Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37930025
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting drug-drug interactions by graph convolutional network with multi-kernel.
    Wang F; Lei X; Liao B; Wu FX
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34864856
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Drug-Drug Interaction Predictions via Knowledge Graph and Text Embedding: Instrument Validation Study.
    Wang M; Wang H; Liu X; Ma X; Wang B
    JMIR Med Inform; 2021 Jun; 9(6):e28277. PubMed ID: 34185011
    [TBL] [Abstract][Full Text] [Related]  

  • 14. PEB-DDI: A Task-Specific Dual-View Substructural Learning Framework for Drug-Drug Interaction Prediction.
    Shen X; Li Z; Liu Y; Song B; Zeng X
    IEEE J Biomed Health Inform; 2024 Jan; 28(1):569-579. PubMed ID: 37991904
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MPHGCL-DDI: Meta-Path-Based Heterogeneous Graph Contrastive Learning for Drug-Drug Interaction Prediction.
    Hu B; Yu Z; Li M
    Molecules; 2024 May; 29(11):. PubMed ID: 38893359
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An effective framework for predicting drug-drug interactions based on molecular substructures and knowledge graph neural network.
    Chen S; Semenov I; Zhang F; Yang Y; Geng J; Feng X; Meng Q; Lei K
    Comput Biol Med; 2024 Feb; 169():107900. PubMed ID: 38199213
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-type feature fusion based on graph neural network for drug-drug interaction prediction.
    He C; Liu Y; Li H; Zhang H; Mao Y; Qin X; Liu L; Zhang X
    BMC Bioinformatics; 2022 Jun; 23(1):224. PubMed ID: 35689200
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SSI-DDI: substructure-substructure interactions for drug-drug interaction prediction.
    Nyamabo AK; Yu H; Shi JY
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 33951725
    [TBL] [Abstract][Full Text] [Related]  

  • 19. DPDDI: a deep predictor for drug-drug interactions.
    Feng YH; Zhang SW; Shi JY
    BMC Bioinformatics; 2020 Sep; 21(1):419. PubMed ID: 32972364
    [TBL] [Abstract][Full Text] [Related]  

  • 20. TP-DDI: A Two-Pathway Deep Neural Network for Drug-Drug Interaction Prediction.
    Xie J; Zhao C; Ouyang J; He H; Huang D; Liu M; Wang J; Zhang W
    Interdiscip Sci; 2022 Dec; 14(4):895-905. PubMed ID: 35622314
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.