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 *

153 related articles for article (PubMed ID: 19615051)

  • 1. Incorporating rich background knowledge for gene named entity classification and recognition.
    Li Y; Lin H; Yang Z
    BMC Bioinformatics; 2009 Jul; 10():223. PubMed ID: 19615051
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A framework for semisupervised feature generation and its applications in biomedical literature mining.
    Li Y; Hu X; Lin H; Yang Z
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(2):294-307. PubMed ID: 20876938
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrating high dimensional bi-directional parsing models for gene mention tagging.
    Hsu CN; Chang YM; Kuo CJ; Lin YS; Huang HS; Chung IF
    Bioinformatics; 2008 Jul; 24(13):i286-94. PubMed ID: 18586726
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Biomedical named entity recognition using deep neural networks with contextual information.
    Cho H; Lee H
    BMC Bioinformatics; 2019 Dec; 20(1):735. PubMed ID: 31881938
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Recognizing names in biomedical texts: a machine learning approach.
    Zhou G; Zhang J; Su J; Shen D; Tan C
    Bioinformatics; 2004 May; 20(7):1178-90. PubMed ID: 14871877
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations.
    Munkhdalai T; Li M; Batsuren K; Park HA; Choi NH; Ryu KH
    J Cheminform; 2015; 7(Suppl 1 Text mining for chemistry and the CHEMDNER track):S9. PubMed ID: 25810780
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Learning an enriched representation from unlabeled data for protein-protein interaction extraction.
    Li Y; Hu X; Lin H; Yang Z
    BMC Bioinformatics; 2010 Apr; 11 Suppl 2(Suppl 2):S7. PubMed ID: 20406505
    [TBL] [Abstract][Full Text] [Related]  

  • 8. TaggerOne: joint named entity recognition and normalization with semi-Markov Models.
    Leaman R; Lu Z
    Bioinformatics; 2016 Sep; 32(18):2839-46. PubMed ID: 27283952
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A hybrid named entity tagger for tagging human proteins/genes.
    Raja K; Subramani S; Natarajan J
    Int J Data Min Bioinform; 2014; 10(3):315-28. PubMed ID: 25946866
    [TBL] [Abstract][Full Text] [Related]  

  • 10. BCC-NER: bidirectional, contextual clues named entity tagger for gene/protein mention recognition.
    Murugesan G; Abdulkadhar S; Bhasuran B; Natarajan J
    EURASIP J Bioinform Syst Biol; 2017 Dec; 2017(1):7. PubMed ID: 28477208
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Boosting performance of gene mention tagging system by hybrid methods.
    Li L; Fan W; Huang D; Dang Y; Sun J
    J Biomed Inform; 2012 Feb; 45(1):156-64. PubMed ID: 22056694
    [TBL] [Abstract][Full Text] [Related]  

  • 12. DTranNER: biomedical named entity recognition with deep learning-based label-label transition model.
    Hong SK; Lee JG
    BMC Bioinformatics; 2020 Feb; 21(1):53. PubMed ID: 32046638
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Stacked ensemble combined with fuzzy matching for biomedical named entity recognition of diseases.
    Bhasuran B; Murugesan G; Abdulkadhar S; Natarajan J
    J Biomed Inform; 2016 Dec; 64():1-9. PubMed ID: 27634494
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Various criteria in the evaluation of biomedical named entity recognition.
    Tsai RT; Wu SH; Chou WC; Lin YC; He D; Hsiang J; Sung TY; Hsu WL
    BMC Bioinformatics; 2006 Feb; 7():92. PubMed ID: 16504116
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. BIOSMILE: a semantic role labeling system for biomedical verbs using a maximum-entropy model with automatically generated template features.
    Tsai RT; Chou WC; Su YS; Lin YC; Sung CL; Dai HJ; Yeh IT; Ku W; Sung TY; Hsu WL
    BMC Bioinformatics; 2007 Sep; 8():325. PubMed ID: 17764570
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Towards reliable named entity recognition in the biomedical domain.
    Giorgi JM; Bader GD
    Bioinformatics; 2020 Jan; 36(1):280-286. PubMed ID: 31218364
    [TBL] [Abstract][Full Text] [Related]  

  • 18. NERBio: using selected word conjunctions, term normalization, and global patterns to improve biomedical named entity recognition.
    Tsai RT; Sung CL; Dai HJ; Hung HC; Sung TY; Hsu WL
    BMC Bioinformatics; 2006 Dec; 7 Suppl 5(Suppl 5):S11. PubMed ID: 17254295
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identifying non-elliptical entity mentions in a coordinated NP with ellipses.
    Chae J; Jung Y; Lee T; Jung S; Huh C; Kim G; Kim H; Oh H
    J Biomed Inform; 2014 Feb; 47():139-52. PubMed ID: 24153413
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Challenges in clinical natural language processing for automated disorder normalization.
    Leaman R; Khare R; Lu Z
    J Biomed Inform; 2015 Oct; 57():28-37. PubMed ID: 26187250
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.