BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

286 related articles for article (PubMed ID: 37467835)

  • 1. Extracting biomedical relation from cross-sentence text using syntactic dependency graph attention network.
    Zhou X; Fu Q; Chen J; Liu L; Wang Y; Lu Y; Wu H
    J Biomed Inform; 2023 Aug; 144():104445. PubMed ID: 37467835
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Relation Extraction in Biomedical Texts Based on Multi-Head Attention Model With Syntactic Dependency Feature: Modeling Study.
    Li Y; Hui L; Zou L; Li H; Xu L; Wang X; Chua S
    JMIR Med Inform; 2022 Oct; 10(10):e41136. PubMed ID: 36264604
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Document-Level Biomedical Relation Extraction Using Graph Convolutional Network and Multihead Attention: Algorithm Development and Validation.
    Wang J; Chen X; Zhang Y; Zhang Y; Wen J; Lin H; Yang Z; Wang X
    JMIR Med Inform; 2020 Jul; 8(7):e17638. PubMed ID: 32459636
    [TBL] [Abstract][Full Text] [Related]  

  • 4. BioByGANS: biomedical named entity recognition by fusing contextual and syntactic features through graph attention network in node classification framework.
    Zheng X; Du H; Luo X; Tong F; Song W; Zhao D
    BMC Bioinformatics; 2022 Nov; 23(1):501. PubMed ID: 36418937
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Graph Convolutional Network-Based Method for Chemical-Protein Interaction Extraction: Algorithm Development.
    Wang E; Wang F; Yang Z; Wang L; Zhang Y; Lin H; Wang J
    JMIR Med Inform; 2020 May; 8(5):e17643. PubMed ID: 32348257
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text.
    Li Z; Yang Z; Shen C; Xu J; Zhang Y; Xu H
    BMC Med Inform Decis Mak; 2019 Jan; 19(Suppl 1):22. PubMed ID: 30700301
    [TBL] [Abstract][Full Text] [Related]  

  • 7. BioEGRE: a linguistic topology enhanced method for biomedical relation extraction based on BioELECTRA and graph pointer neural network.
    Zheng X; Wang X; Luo X; Tong F; Zhao D
    BMC Bioinformatics; 2023 Dec; 24(1):486. PubMed ID: 38114906
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Incorporating representation learning and multihead attention to improve biomedical cross-sentence n-ary relation extraction.
    Zhao D; Wang J; Zhang Y; Wang X; Lin H; Yang Z
    BMC Bioinformatics; 2020 Jul; 21(1):312. PubMed ID: 32677883
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Knowledge Guided Attention and Graph Convolutional Networks for Chemical-Disease Relation Extraction.
    Sun Y; Wang J; Lin H; Zhang Y; Yang Z
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):489-499. PubMed ID: 34962873
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Exploiting graph kernels for high performance biomedical relation extraction.
    Panyam NC; Verspoor K; Cohn T; Ramamohanarao K
    J Biomed Semantics; 2018 Jan; 9(1):7. PubMed ID: 29382397
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Attention enhanced capsule network for text classification by encoding syntactic dependency trees with graph convolutional neural network.
    Jia X; Wang L
    PeerJ Comput Sci; 2022; 8():e831. PubMed ID: 35111918
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An attentive joint model with transformer-based weighted graph convolutional network for extracting adverse drug event relation.
    El-Allaly ED; Sarrouti M; En-Nahnahi N; Ouatik El Alaoui S
    J Biomed Inform; 2022 Jan; 125():103968. PubMed ID: 34871807
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Chemical-induced disease relation extraction with dependency information and prior knowledge.
    Zhou H; Ning S; Yang Y; Liu Z; Lang C; Lin Y
    J Biomed Inform; 2018 Aug; 84():171-178. PubMed ID: 30017973
    [TBL] [Abstract][Full Text] [Related]  

  • 14. ADPG: Biomedical entity recognition based on Automatic Dependency Parsing Graph.
    Yang Y; Lin H; Yang Z; Zhang Y; Zhao D; Huai S
    J Biomed Inform; 2023 Apr; 140():104317. PubMed ID: 36804374
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Location-enhanced syntactic knowledge for biomedical relation extraction.
    Zhang Y; Yang Z; Yang Y; Lin H; Wang J
    J Biomed Inform; 2024 Jun; 156():104676. PubMed ID: 38876451
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Biomedical Relation Extraction Using Dependency Graph and Decoder-Enhanced Transformer Model.
    Kim S; Yoon J; Kwon O
    Bioengineering (Basel); 2023 May; 10(5):. PubMed ID: 37237656
    [TBL] [Abstract][Full Text] [Related]  

  • 17. LoGo-GR: A Local to Global Graphical Reasoning Framework for Extracting Structured Information From Biomedical Literature.
    Zhou X; Fu Q; Xia Y; Wang Y; Lu Y; Chen Y; Chen J
    IEEE J Biomed Health Inform; 2024 Apr; 28(4):2314-2325. PubMed ID: 38265897
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modeling Structured Dependency Tree with Graph Convolutional Networks for Aspect-Level Sentiment Classification.
    Zhao Q; Yang F; An D; Lian J
    Sensors (Basel); 2024 Jan; 24(2):. PubMed ID: 38257513
    [TBL] [Abstract][Full Text] [Related]  

  • 19. BERT-GT: cross-sentence n-ary relation extraction with BERT and Graph Transformer.
    Lai PT; Lu Z
    Bioinformatics; 2021 Apr; 36(24):5678-5685. PubMed ID: 33416851
    [TBL] [Abstract][Full Text] [Related]  

  • 20. From POS tagging to dependency parsing for biomedical event extraction.
    Nguyen DQ; Verspoor K
    BMC Bioinformatics; 2019 Feb; 20(1):72. PubMed ID: 30755172
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.