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An Efficient, Large-scale, Non-lattice-detection Algorithm for Exhaustive Structural Auditing of Biomedical Ontologies

One of the basic challenges in developing structural methods for systematic audition on the quality of biomedical ontologies is the computational cost usually involved in exhaustive sub-graph analysis. We introduce ANT-LCA, a new algorithm for computing all non-trivial lowest common ancestors (LCA)...

詳細記述

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書誌詳細
出版年:J Biomed Inform
主要な著者: Zhang, Guo-Qiang, Xing, Guangming, Cui, Licong
フォーマット: Artigo
言語:Inglês
出版事項: 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6070340/
https://ncbi.nlm.nih.gov/pubmed/29548711
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2018.03.004
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