ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018
Identifying Similar Non-Lattice Subgraphs in Gene Ontology based on Structural Isomorphism and Semantic Similarity of Concept Labels.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Outlier concepts auditing methodology for a large family of biomedical ontologies.BMC medical informatics and decision making · 2020Article
- A review of auditing techniques for the Unified Medical Language System.Journal of the American Medical Informatics Association : JAMIA · 2020Review
- Leveraging Non-lattice Subgraphs to Audit Hierarchical Relations in NCI Thesaurus.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
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3 authors.
Funding
Abstract
Non-Lattice Subgraphs (NLSs) are graph fragments of a terminology which violates the lattice property, a desirable property for a well-formed terminology. They have been proven to be useful in identifying inconsistencies in biomed-ical terminologies. Similar NLSs may denote similar inconsistencies that may suggest possibly similar remediations. Therefore, we investigate a structural-semantic-based approach to identify similar NLSs in the Gene Ontology (GO). For an input NLS, we first obtain all its isomorphic NLSs. Then, we compare each concept of the input NLS with the corresponding concept in an isomorphic NLS and then compute a similarity score for the two NLSs. Applying this approach to 10 different structures of NLSs in GO, we found that 38.43% (910/2368) of NLSs have at least one similar NLS. We also observed some interesting lexical patterns frequently existing in similar NLSs. Our approach may be applicable to other biomedical terminologies for identifying similar NLSs.
Indexed as
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30815161PMC6371383What OpenQuestion holds
Registered trials
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