Quality assurance of complex ChEBI concepts based on number of relationship types

Author:

Yumak Hasan1,Zheng Ling2,Chen Ling1,Halper Michael3,Perl Yehoshua4,Owen Gareth5

Affiliation:

1. Science Department, BMCC, CUNY, New York, NY 10007, USA. E-mails: hyumak@bmcc.cuny.edu, lchen@bmcc.cuny.edu

2. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ 07764, USA. E-mail: lzheng@monmouth.edu

3. Department of Informatics, New Jersey Institute of Technology, Newark, NJ 07102, USA. E-mail: michael.halper@njit.edu

4. Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA. E-mail: perl@njit.edu

5. The European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, CB10 1SD, United Kingdom. E-mail: gowen@ebi.ac.uk

Publisher

IOS Press

Subject

Linguistics and Language,Language and Linguistics,General Computer Science

Reference44 articles.

1. The readiness of SNOMED problem list concepts for meaningful use of electronic health records;Agrawal;Artif Intell Med,2013

2. Gene ontology: Tool for the unification of biology;Ashburner;The Gene Ontology Consortium. Nat Genet,2000

3. The unified medical language system (UMLS): Integrating biomedical terminology;Bodenreider;Nucleic Acids Res,2004

4. Crowe, J. & Bradshaw, T. (2014). Chemistry for the Biosciences: The Essential Concepts (3rd ed.). Oxford University Press.

5. NCI thesaurus: Using science-based terminology to integrate cancer research results;de Coronado;Stud Health Technol Inform,2004

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1. Outlier concepts auditing methodology for a large family of biomedical ontologies;BMC Medical Informatics and Decision Making;2020-12

2. Missing lateral relationships in top-level concepts of an ontology;BMC Medical Informatics and Decision Making;2020-12

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