BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 29961818)

  • 1. Chemical-gene relation extraction using recursive neural network.
    Lim S; Kang J
    Database (Oxford); 2018 Jan; 2018():. PubMed ID: 29961818
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Extracting chemical-protein relations with ensembles of SVM and deep learning models.
    Peng Y; Rios A; Kavuluru R; Lu Z
    Database (Oxford); 2018 Jan; 2018():. PubMed ID: 30020437
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Extracting chemical-protein relations using attention-based neural networks.
    Liu S; Shen F; Komandur Elayavilli R; Wang Y; Rastegar-Mojarad M; Chaudhary V; Liu H
    Database (Oxford); 2018 Jan; 2018():. PubMed ID: 30295724
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Long short-term memory RNN for biomedical named entity recognition.
    Lyu C; Chen B; Ren Y; Ji D
    BMC Bioinformatics; 2017 Oct; 18(1):462. PubMed ID: 29084508
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Potent pairing: ensemble of long short-term memory networks and support vector machine for chemical-protein relation extraction.
    Mehryary F; Björne J; Salakoski T; Ginter F
    Database (Oxford); 2018 Jan; 2018():. PubMed ID: 30576487
    [TBL] [Abstract][Full Text] [Related]  

  • 6. LSTMVoter: chemical named entity recognition using a conglomerate of sequence labeling tools.
    Hemati W; Mehler A
    J Cheminform; 2019 Jan; 11(1):3. PubMed ID: 30631966
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Character-level neural network for biomedical named entity recognition.
    Gridach M
    J Biomed Inform; 2017 Jun; 70():85-91. PubMed ID: 28502909
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Leveraging prior knowledge for protein-protein interaction extraction with memory network.
    Zhou H; Liu Z; Ning S; Yang Y; Lang C; Lin Y; Ma K
    Database (Oxford); 2018 Jan; 2018():. PubMed ID: 30010731
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improving the learning of chemical-protein interactions from literature using transfer learning and specialized word embeddings.
    Corbett P; Boyle J
    Database (Oxford); 2018 Jan; 2018():. PubMed ID: 30010749
    [TBL] [Abstract][Full Text] [Related]  

  • 10. LPTK: a linguistic pattern-aware dependency tree kernel approach for the BioCreative VI CHEMPROT task.
    Warikoo N; Chang YC; Hsu WL
    Database (Oxford); 2018 Jan; 2018():. PubMed ID: 30346607
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task.
    Wei CH; Peng Y; Leaman R; Davis AP; Mattingly CJ; Li J; Wiegers TC; Lu Z
    Database (Oxford); 2016; 2016():. PubMed ID: 26994911
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Exploiting syntactic and semantics information for chemical-disease relation extraction.
    Zhou H; Deng H; Chen L; Yang Y; Jia C; Huang D
    Database (Oxford); 2016; 2016():. PubMed ID: 27081156
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Entity recognition from clinical texts via recurrent neural network.
    Liu Z; Yang M; Wang X; Chen Q; Tang B; Wang Z; Xu H
    BMC Med Inform Decis Mak; 2017 Jul; 17(Suppl 2):67. PubMed ID: 28699566
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning.
    Zhang Y; Xu J; Chen H; Wang J; Wu Y; Prakasam M; Xu H
    Database (Oxford); 2016; 2016():. PubMed ID: 27087307
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Chemical-induced disease relation extraction via convolutional neural network.
    Gu J; Sun F; Qian L; Zhou G
    Database (Oxford); 2017 Jan; 2017(1):. PubMed ID: 28415073
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Character level and word level embedding with bidirectional LSTM - Dynamic recurrent neural network for biomedical named entity recognition from literature.
    Gajendran S; D M; Sugumaran V
    J Biomed Inform; 2020 Dec; 112():103609. PubMed ID: 33122119
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluation of text-mining systems for biology: overview of the Second BioCreative community challenge.
    Krallinger M; Morgan A; Smith L; Leitner F; Tanabe L; Wilbur J; Hirschman L; Valencia A
    Genome Biol; 2008; 9 Suppl 2(Suppl 2):S1. PubMed ID: 18834487
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition.
    Luo L; Yang Z; Yang P; Zhang Y; Wang L; Lin H; Wang J
    Bioinformatics; 2018 Apr; 34(8):1381-1388. PubMed ID: 29186323
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Chemlistem: chemical named entity recognition using recurrent neural networks.
    Corbett P; Boyle J
    J Cheminform; 2018 Dec; 10(1):59. PubMed ID: 30523437
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An effective neural model extracting document level chemical-induced disease relations from biomedical literature.
    Zheng W; Lin H; Li Z; Liu X; Li Z; Xu B; Zhang Y; Yang Z; Wang J
    J Biomed Inform; 2018 Jul; 83():1-9. PubMed ID: 29746916
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.