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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Implications of the Wnt5a/CaMKII Pathway in Retinoic Acid-Induced Myogenic Tongue Abnormalities of Developing Mice Cong, Wei; Liu, Bo; Liu, Shuqing. - : Nature Publishing Group, 2014 BASE Show details 2 Interaction Relation Ontology Learning Li, Chuan-Xi; Wang, Ru-Jing; Chen, Peng; Huang, He; Su, Ya-Ru. - : Mary Ann Liebert, Inc., 2014 Abstract: Ontology is widely used in semantic computing and reasoning, and various biomedicine ontologies have become institutionalized to make the heterogeneous knowledge computationally amenable. Relation words, especially verbs, play an important role when describing the interaction between biological entities in molecular function, biological process, and cellular component; however, comprehensive research and analysis are still lacking. In this article, we propose an automatic method to build interaction relation ontology by investigating relation verbs, analyzing the syntactic relation of PubMed abstracts to perform relation vocabulary expansion, and integrating WordNet into our method to construct the hierarchy of relation vocabulary. Five attributes are populated automatically for each word in interaction relation ontology. As a result, the interaction relation ontology is constructed; it contains a total of 963 words and covers the most relation words used in existing methods of proteins interaction relation. Keyword: Research Articles URL: https://doi.org/10.1089/cmb.2012.0009 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3880112 http://www.ncbi.nlm.nih.gov/pubmed/24377790 BASE Hide details 3 Learning directed acyclic graphs via bootstrap aggregating ... Wang, Ru; Peng, Jie. - : arXiv, 2014 BASE Show details

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