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Volumn 8, Issue 2, 2013, Pages

Mining Skeletal Phenotype Descriptions from Scientific Literature

Author keywords

[No Author keywords available]

Indexed keywords

ACCESS TO INFORMATION; ARTICLE; CLASSIFIER; COMPUTER PROGRAM; DATA MINING; GENETIC ANALYSIS; INFORMATION PROCESSING; INTERNET; MACHINE LEARNING; PHENOTYPE; SCIENTIFIC LITERATURE; SCORING SYSTEM; SUPPORT VECTOR MACHINE;

EID: 84873650802     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0055656     Document Type: Article
Times cited : (10)

References (27)
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  • 4
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    • The Mammalian Phenotype Ontology as a tool for anno-tating, analyzing and comparing phenotypic information
    • Smith C, Goldsmith C, Eppig J, (2005) The Mammalian Phenotype Ontology as a tool for anno-tating, analyzing and comparing phenotypic information. Genome Biology 6: R7.
    • (2005) Genome Biology , vol.6
    • Smith, C.1    Goldsmith, C.2    Eppig, J.3
  • 5
    • 84865161384 scopus 로고    scopus 로고
    • Standard Terminology for Phenotypic Variations: The Elements of Morphology Project, Its Current Progress, and Future Directions
    • Carey JC, Allanson JE, Hennekam RC, Biesecker LG (2012) Standard Terminology for Phenotypic Variations: The Elements of Morphology Project, Its Current Progress, and Future Directions. Human Mutation: 781-786.
    • (2012) Human Mutation , pp. 781-786
    • Carey, J.C.1    Allanson, J.E.2    Hennekam, R.C.3    Biesecker, L.G.4
  • 7
  • 11
    • 80055028612 scopus 로고    scopus 로고
    • Using SemanticWeb Technologies to Build a Community-driven Knowledge Curation Platform for the Skeletal Dysplasia Domain
    • Bonn, Germany
    • Groza T, Zankl A, Li YF, Hunter J (2011) Using SemanticWeb Technologies to Build a Community-driven Knowledge Curation Platform for the Skeletal Dysplasia Domain. In: Proc. of the 10th International Semantic Web Conference (ISWC 2011). Bonn, Germany, 81-96.
    • (2011) Proc. of the 10th International Semantic Web Conference (ISWC 2011) , pp. 81-96
    • Groza, T.1    Zankl, A.2    Li, Y.F.3    Hunter, J.4
  • 12
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    • 45549087801 scopus 로고    scopus 로고
    • Exploiting the performance of dictionary-based bio-entity name recog- nition in biomedical literature
    • Yang Z, Lin H, Li Y, (2008) Exploiting the performance of dictionary-based bio-entity name recog- nition in biomedical literature. Computational Biology and Chemistry 32: 287-291.
    • (2008) Computational Biology and Chemistry , vol.32 , pp. 287-291
    • Yang, Z.1    Lin, H.2    Li, Y.3
  • 19
    • 51049095835 scopus 로고    scopus 로고
    • Tackling the BioCreative2 Gene Mention task with Conditional Random Fields and Syntactic Parsing
    • Madrid, Spain
    • Vlachos A (2007) Tackling the BioCreative2 Gene Mention task with Conditional Random Fields and Syntactic Parsing. In: Proceedings of the Second BioCreative Challenge Evaluation Workshop. Madrid, Spain, 85-87.
    • (2007) Proceedings of the Second BioCreative Challenge Evaluation Workshop , pp. 85-87
    • Vlachos, A.1
  • 23
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    • Use of Support Vector Learning for Chunk Identification
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    • Kudoh T, Matsumoto Y (2000) Use of Support Vector Learning for Chunk Identification. In: Proceedings of CoNLL and ALL 2000. Lisbon, Portugal, 142-144.
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    • Kudoh, T.1    Matsumoto, Y.2
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    • Technical report, Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, Maryland
    • Browne AC, McCray AT, Srinivasan S (2000) The SPECIALIST Lexicon. Technical report, Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, Maryland.
    • (2000) The SPECIALIST Lexicon
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.