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The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.
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In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.inria.fr/hal-03476839 ; Studies in Health Technology and Informatics, IOS Press, 2020, 270, pp.432-436. ⟨10.3233/SHTI200197⟩ (2020)
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HPV circulating tumoral DNA quantification by droplet-based digital PCR: a promising predictive and prognostic biomarker for HPV-associated oropharyngeal cancers.
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In: ISSN: 0020-7136 ; EISSN: 1097-0215 ; International Journal of Cancer ; https://www.hal.inserm.fr/inserm-02299250 ; International Journal of Cancer, Wiley, 2019, 15 (147), pp.1222-1227. ⟨10.1002/ijc.32804⟩ (2019)
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iExplore: Interactive Browsing and Exploring Biomedical Knowledge
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In: Amit P. Sheth (2014)
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iExplore: Interactive Browsing and Exploring Biomedical Knowledge
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In: Krishnaprasad Thirunarayan (2014)
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iExplore: Interactive Browsing and Exploring Biomedical Knowledge
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Nguyen, Vinh; Bodenreider, Olivier; Srinivasan, Jagannathan; Minning, Todd; Rindflesch, Thomas; Rance, Bastien; Kavuluru, Ramakanth; Yalamanchili, Himi; Thirunarayan, Krishnaprasad; Sahoo, Satya S.; Sheth, Amit P.
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In: Kno.e.sis Publications (2012)
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Abstract:
We present iExplore, a Semantic Web based application that helps biomedical researchers study and explore biomedical knowledge interactively. iExplore uses the Biomedical Knowledge Repository (BKR), which integrates knowledge from various sources ranging from information extracted from biomedical literature (from PubMed) to many structured vocabularies in the Unified Medical Language System (UMLS). The current version of BKR provides a unified provenance representation for 12 million semantic predications (triples with a predicate connecting a subject and an object) derived from 87 vocabulary families in the UMLS and 14 million predications extracted from 21 million PubMed abstracts. To engage the domain experts in studying and exploring such a comprehensive knowledge base, we developed the iExplore to: 1) visualize and navigate all the possible semantic predications related to concepts of interest, and 2) search for interesting links between concepts. We also provide an authorization mechanism for SPARQL queries generated by the iExplore to support licensed access to UMLS. We demonstrate the use of iExplore in two scenarios: 1) current research in biomedicine, and 2) re-exploration of two previously known literature-based discoveries.
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Keyword:
Bioinformatics; Biomedicine; Communication; Communication Technology and New Media; Computer Sciences; Databases and Information Systems; iExplore; Knowledge Exploration; Life Sciences; OS and Networks; Physical Sciences and Mathematics; Science and Technology Studies; Social and Behavioral Sciences
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URL: https://corescholar.libraries.wright.edu/cgi/viewcontent.cgi?article=2239&context=knoesis
https://corescholar.libraries.wright.edu/knoesis/863
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