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Volumn 10, Issue SUPPL. 1, 2009, Pages

Extract interaction detection methods from the biological literature

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC EXTRACTION; BIOLOGICAL LITERATURES; DETECTION METHODS; FULL-TEXT DOCUMENTS; INTERACTION DETECTION; POTENTIAL METHODS; PROBABILISTIC FRAMEWORK; PROTEIN-PROTEIN INTERACTIONS;

EID: 60849106648     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-S1-S55     Document Type: Article
Times cited : (15)

References (28)
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    • Daraselia, N.1    Yuryev, A.2    Egorov, S.3    Novichkova, S.4    Nikitin, A.5    Mazo, I.6
  • 2
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    • Ono T Hishigaki H Tanigami A Takagi T Automated extraction of information on protein protein interactions from the biological literature IEEE Intelligent Systems 2001, 17(2):155-161
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    • Ono, T.1    Hishigaki, H.2    Tanigami, A.3    Takagi, T.4
  • 3
    • 12344282809 scopus 로고    scopus 로고
    • Discovering patterns to extract protein protein interactions from full texts
    • 15284092
    • Huang M Zhu X Hao Y Payan DG Qu K Li M Discovering patterns to extract protein protein interactions from full texts Bioinformatics 2004, 20(18):3604-3612 15284092
    • (2004) Bioinformatics , vol.20 , Issue.18 , pp. 3604-3612
    • Huang, M.1    Zhu, X.2    Hao, Y.3    Payan, D.G.4    Qu, K.5    Li, M.6
  • 4
    • 0036522638 scopus 로고    scopus 로고
    • The Frame-Based Module of the SUISEKI Information Extraction System
    • Blaschke C Valencia A The Frame-Based Module of the SUISEKI Information Extraction System Bioinformatics 2002, 17(2):14-20
    • (2002) Bioinformatics , vol.17 , Issue.2 , pp. 14-20
    • Blaschke, C.1    Valencia, A.2
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    • IntAct
  • 10
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    • The use of common ontologies and controlled vocabularies to enable data exchange and deposition for complex proteomic experiments
    • S O L MP H H R A 15759625
    • S O L MP H H R A The use of common ontologies and controlled vocabularies to enable data exchange and deposition for complex proteomic experiments Pacific Symposium on Biocomputing 2005, 186-196 15759625
    • (2005) Pacific Symposium on Biocomputing , pp. 186-196
  • 11
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Joachims T Text categorization with support vector machines: Learning with many relevant features European Conference on Machine Learning 1998, 137-142
    • (1998) European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 15
    • 85145541793 scopus 로고    scopus 로고
    • Probabilistic Topic Models
    • Landauer TK, McNamara DS, Dennis S, Kintsch W, Routledge
    • Steyvers M Griffiths T Probabilistic Topic Models Handbook of Latent Semantic Analysis Landauer TK, McNamara DS, Dennis S, Kintsch W, Routledge 2007, 424-440
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  • 23
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    • Porter, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.