메뉴 건너뛰기




Volumn , Issue , 2008, Pages 77-84

Extracting protein-protein interactions from text using rich feature vectors and feature selection

Author keywords

[No Author keywords available]

Indexed keywords

DEPENDENCY GRAPHS; FEATURE SETS; MACHINE LEARNING TECHNIQUES; MODEL PERFORMANCE; NATURAL LANGUAGES; PRACTICAL GUIDELINES; PROTEIN-PROTEIN INTERACTIONS; RICH FEATURES; SYNTACTIC INFORMATION;

EID: 84874286930     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (50)

References (25)
  • 5
    • 75249088525 scopus 로고    scopus 로고
    • Extracting interacting protein pairs and evidence sentences by using dependency parsing and machine learning techniques
    • G. Erkan, A. Ozgur and D. R. Radev. 2007. Extracting interacting protein pairs and evidence sentences by using dependency parsing and machine learning techniques. Proceedings of BioCreAtIvE 2
    • (2007) Proceedings of BioCreAtIvE , vol.2
    • Erkan, G.1    Ozgur, A.2    Radev, D.R.3
  • 7
    • 33847294345 scopus 로고    scopus 로고
    • RelEx - Relation extraction using dependency parse trees
    • K. Fundel, R. Küffner and R. Zimmer. 2007. RelEx - Relation extraction using dependency parse trees. Bioinformatics, 23(3):365-371
    • (2007) Bioinformatics , vol.23 , Issue.3 , pp. 365-371
    • Fundel, K.1    Küffner, R.2    Zimmer, R.3
  • 8
    • 77953797578 scopus 로고    scopus 로고
    • Exploiting shallow linguistic information for relation extraction from biomedical literature
    • C. Giuliano, A. Lavelli and L. Romano 2006. Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature. EACL
    • (2006) EACL
    • Giuliano, C.1    Lavelli, A.2    Romano, L.3
  • 10
    • 33947304181 scopus 로고    scopus 로고
    • Overview of BioCreAtIvE: Critical assessment of information extraction for biology
    • L. Hirschman, A. Yeh, C. Blaschke and A. Valencia. 2005. Overview of BioCreAtIvE: critical assessment of information extraction for biology. BMC Bioinformatics, 6(Suppl 1):S1
    • (2005) BMC Bioinformatics , vol.6 , Issue.SUPPL. 1
    • Hirschman, L.1    Yeh, A.2    Blaschke, C.3    Valencia, A.4
  • 11
    • 3042786293 scopus 로고    scopus 로고
    • A gene network for navigating the literature
    • R. Hoffmann and A. Valencia. 2004. A Gene Network for Navigating the Literature. Nature Genetics, 36:664
    • (2004) Nature Genetics , vol.36 , pp. 664
    • Hoffmann, R.1    Valencia, A.2
  • 12
    • 84858434398 scopus 로고    scopus 로고
    • A systematic exploration of the feature space for relation extraction
    • J. Jiang and C. Zhai. 2007. A Systematic Exploration of the Feature Space for Relation Extraction. Proceedings of NAACL-HLT 07, 113-120
    • (2007) Proceedings of NAACL-HLT 07 , pp. 113-120
    • Jiang, J.1    Zhai, C.2
  • 14
    • 40749087717 scopus 로고    scopus 로고
    • Corpus annotation for mining biomedical events from literature
    • J.-D. Kim, T. Ohta and J. Tsujii. 2008. Corpus annotation for mining biomedical events from literature. BMC Bioinformatics, 19(Suppl 1):i180-i182
    • (2008) BMC Bioinformatics , vol.19 , Issue.SUPPL. 1
    • Kim, J.-D.1    Ohta, T.2    Tsujii, J.3
  • 15
    • 84874255926 scopus 로고    scopus 로고
    • Kernel approaches for genic interaction extraction
    • S. Kim, J. Yoon and J. Yang. 2008. Kernel approaches for genic interaction extraction. Bioinformatics, 9:10
    • (2008) Bioinformatics , vol.9 , pp. 10
    • Kim, S.1    Yoon, J.2    Yang, J.3
  • 17
    • 33847253112 scopus 로고    scopus 로고
    • Learning language in logic - Genic interaction extraction challenge
    • C. Nedellec. 2006. Learning language in logic - genic interaction extraction challenge. Proceedings of LLL'05, 31-37
    • (2006) Proceedings of LLL'05 , pp. 31-37
    • Nedellec, C.1
  • 18
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • M. F. Porter. 1980. An algorithm for suffix stripping. Program, 14(3), 130-137
    • (1980) Program , vol.14 , Issue.3 , pp. 130-137
    • Porter, M.F.1
  • 22
    • 80053429575 scopus 로고    scopus 로고
    • Syntactic features for protein-protein interaction extraction
    • R. Saetre, K. Sagae and J. Tsujii. 2008. Syntactic features for protein-protein interaction extraction. Proceedings of LBM'07)
    • (2008) Proceedings of LBM'07
    • Saetre, R.1    Sagae, K.2    Tsujii, J.3
  • 23
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • Y Saeys, I. Inza and P. Larrañaga. 2007. A review of feature selection techniques in bioinformatics. Bioinformatics, 23(19):2507-2517.
    • (2007) Bioinformatics , vol.23 , Issue.19 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larrañaga, P.3
  • 24
    • 84874254119 scopus 로고    scopus 로고
    • Benchmarking machine learning techniques for the extraction of protein-protein interactions from text
    • S. Van Landeghem, Y. Saeys, B. De Baets and Y. Van de Peer. 2008. Benchmarking machine learning techniques for the extraction of protein-protein interactions from text. Proceedings of Benelearn'08, 79-80.
    • (2008) Proceedings of Benelearn'08 , pp. 79-80
    • Van Landeghem, S.1    Saeys, Y.2    De Baets, B.3    Van De Peer, Y.4
  • 25
    • 57649174704 scopus 로고    scopus 로고
    • Exploiting and integrating rich features for biological literature classification
    • H. Wang, M. Huang, S. Ding and X. Zhu. 2008. Exploiting and integrating rich features for biological literature classification. BMC Bioinformatics, 9(Suppl 3):S4
    • (2008) BMC Bioinformatics , vol.9 , Issue.SUPPL. 3
    • Wang, H.1    Huang, M.2    Ding, S.3    Zhu, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.