BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

258 related articles for article (PubMed ID: 27345947)

  • 1. A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies.
    Ochs C; Geller J; Perl Y; Musen MA
    J Biomed Inform; 2016 Aug; 62():90-105. PubMed ID: 27345947
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Outlier concepts auditing methodology for a large family of biomedical ontologies.
    Zheng L; Min H; Chen Y; Keloth V; Geller J; Perl Y; Hripcsak G
    BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 10):296. PubMed ID: 33319713
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Summarizing and visualizing structural changes during the evolution of biomedical ontologies using a Diff Abstraction Network.
    Ochs C; Perl Y; Geller J; Haendel M; Brush M; Arabandi S; Tu S
    J Biomed Inform; 2015 Aug; 56():127-44. PubMed ID: 26048076
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Missing lateral relationships in top-level concepts of an ontology.
    Zheng L; Chen Y; Min H; Hildebrand PL; Liu H; Halper M; Geller J; de Coronado S; Perl Y
    BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 10):305. PubMed ID: 33319709
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies.
    Ochs C; He Z; Zheng L; Geller J; Perl Y; Hripcsak G; Musen MA
    J Biomed Inform; 2016 Jun; 61():63-76. PubMed ID: 26988001
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Scalability of abstraction-network-based quality assurance to large SNOMED hierarchies.
    Ochs C; Perl Y; Geller J; Halper M; Gu H; Chen Y; Elhanan G
    AMIA Annu Symp Proc; 2013; 2013():1071-80. PubMed ID: 24551393
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Summarizing an Ontology: A "Big Knowledge" Coverage Approach.
    Zheng L; Perl Y; Elhanan G; Ochs C; Geller J; Halper M
    Stud Health Technol Inform; 2017; 245():978-982. PubMed ID: 29295246
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Complex overlapping concepts: An effective auditing methodology for families of similarly structured BioPortal ontologies.
    Zheng L; Chen Y; Elhanan G; Perl Y; Geller J; Ochs C
    J Biomed Inform; 2018 Jul; 83():135-149. PubMed ID: 29852316
    [TBL] [Abstract][Full Text] [Related]  

  • 9. New abstraction networks and a new visualization tool in support of auditing the SNOMED CT content.
    Geller J; Ochs C; Perl Y; Xu J
    AMIA Annu Symp Proc; 2012; 2012():237-46. PubMed ID: 23304293
    [TBL] [Abstract][Full Text] [Related]  

  • 10. From SNOMED CT to Uberon: Transferability of evaluation methodology between similarly structured ontologies.
    Elhanan G; Ochs C; Mejino JLV; Liu H; Mungall CJ; Perl Y
    Artif Intell Med; 2017 Jun; 79():9-14. PubMed ID: 28532962
    [TBL] [Abstract][Full Text] [Related]  

  • 11. From lexical regularities to axiomatic patterns for the quality assurance of biomedical terminologies and ontologies.
    van Damme P; Quesada-Martínez M; Cornet R; Fernández-Breis JT
    J Biomed Inform; 2018 Aug; 84():59-74. PubMed ID: 29908358
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deriving an abstraction network to support quality assurance in OCRe.
    Ochs C; Agrawal A; Perl Y; Halper M; Tu SW; Carini S; Sim I; Noy N; Musen M; Geller J
    AMIA Annu Symp Proc; 2012; 2012():681-9. PubMed ID: 23304341
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Quality assurance of the gene ontology using abstraction networks.
    Ochs C; Perl Y; Halper M; Geller J; Lomax J
    J Bioinform Comput Biol; 2016 Jun; 14(3):1642001. PubMed ID: 27301779
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships.
    Ochs C; Geller J; Perl Y; Chen Y; Agrawal A; Case JT; Hripcsak G
    J Am Med Inform Assoc; 2015 May; 22(3):628-39. PubMed ID: 25332354
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A family-based framework for supporting quality assurance of biomedical ontologies in BioPortal.
    He Z; Ochs C; Agrawal A; Perl Y; Zeginis D; Tarabanis K; Elhanan G; Halper M; Noy N; Geller J
    AMIA Annu Symp Proc; 2013; 2013():581-90. PubMed ID: 24551360
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analysis of readability and structural accuracy in SNOMED CT.
    Abad-Navarro F; Quesada-Martínez M; Duque-Ramos A; Fernández-Breis JT
    BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 10):284. PubMed ID: 33319711
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An empirically derived taxonomy of errors in SNOMED CT.
    Mortensen JM; Musen MA; Noy NF
    AMIA Annu Symp Proc; 2014; 2014():899-906. PubMed ID: 25954397
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Visual comprehension and orientation into the COVID-19 CIDO ontology.
    Zheng L; Perl Y; He Y; Ochs C; Geller J; Liu H; Keloth VK
    J Biomed Inform; 2021 Aug; 120():103861. PubMed ID: 34224898
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Relating Complexity and Error Rates of Ontology Concepts. More Complex NCIt Concepts Have More Errors.
    Min H; Zheng L; Perl Y; Halper M; De Coronado S; Ochs C
    Methods Inf Med; 2017 May; 56(3):200-208. PubMed ID: 28244549
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Quality assurance and enrichment of biological and biomedical ontologies and terminologies.
    Agrawal A; Cui L
    BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 10):301. PubMed ID: 33319696
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.