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Volumn 27, Issue 10, 2011, Pages 1422-1428

Inference of transcriptional regulatory network by bootstrapping patterns

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TRANSCRIPTION FACTOR;

EID: 79955786236     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr155     Document Type: Article
Times cited : (8)

References (27)
  • 2
    • 0035171884 scopus 로고    scopus 로고
    • BIND-the Biomolecular Interaction Network Database
    • Bader, G.D. et al. (2001) BIND-the Biomolecular Interaction Network Database. Nucleic Acids Res., 29, 242-245.
    • (2001) Nucleic Acids Res. , vol.29 , pp. 242-245
    • Bader, G.D.1
  • 3
    • 0033957834 scopus 로고    scopus 로고
    • The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000
    • Bairoch, A. and Apweiler, R. (2000) The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000. Nucleic Acids Res., 28, 45-48.
    • (2000) Nucleic Acids Res. , vol.28 , pp. 45-48
    • Bairoch, A.1    Apweiler, R.2
  • 4
    • 0003146263 scopus 로고    scopus 로고
    • Extracting patterns and relations from the world wide web. In International Workshop on The World Wide Web and Databases. Valencia
    • Brin, S. (1998) Extracting patterns and relations from the world wide web. In International Workshop on The World Wide Web and Databases. Valencia, Spain, pp. 172-183.
    • (1998) Spain , pp. 172-183
    • Brin, S.1
  • 5
    • 78651423600 scopus 로고    scopus 로고
    • A hybrid approach to extract protein-protein interactions
    • Bui, Q.-C. et al. (2011) A hybrid approach to extract protein-protein interactions. Bioinformatics, 27, 259-265.
    • (2011) Bioinformatics , vol.27 , pp. 259-265
    • Bui, Q.-C.1
  • 6
    • 27644497673 scopus 로고    scopus 로고
    • Incremental cue phrase learning and bootstrapping method for causality extraction using cue phrase and word pair probabilities
    • Chang, D.S. and Choi, K.S. (2006) Incremental cue phrase learning and bootstrapping method for causality extraction using cue phrase and word pair probabilities. Inform. Process. Manag., 42, 662-678.
    • (2006) Inform. Process. Manag. , vol.42 , pp. 662-678
    • Chang, D.S.1    Choi, K.S.2
  • 7
    • 0035741485 scopus 로고    scopus 로고
    • A simple algorithm for identifying negated findings and diseases in discharge summaries
    • Chapman, W.W. et al. (2001) A simple algorithm for identifying negated findings and diseases in discharge summaries. J. Biomed. Inform., 34, 301-310.
    • (2001) J. Biomed. Inform. , vol.34 , pp. 301-310
    • Chapman, W.W.1
  • 8
    • 66349121774 scopus 로고    scopus 로고
    • Bayesian inference of protein-protein interactions from biological literature
    • Chowdhary, R. et al. (2009) Bayesian inference of protein-protein interactions from biological literature. Bioinformatics, 25, 1536-1542.
    • (2009) Bioinformatics , vol.25 , pp. 1536-1542
    • Chowdhary, R.1
  • 10
    • 33747892781 scopus 로고    scopus 로고
    • Finding the evidence for protein-protein interactions from PubMed abstracts
    • Jang, H. et al. (2006) Finding the evidence for protein-protein interactions from PubMed abstracts. Bioinformatics, 22, e220-e226.
    • (2006) Bioinformatics , vol.22
    • Jang, H.1
  • 11
    • 31144432293 scopus 로고    scopus 로고
    • Literature mining for the biologist: from information retrieval to biological discovery
    • Jensen, L.J. et al. (2006) Literature mining for the biologist: from information retrieval to biological discovery. Nat. Rev. Genet., 7, 119-129.
    • (2006) Nat. Rev. Genet. , vol.7 , pp. 119-129
    • Jensen, L.J.1
  • 12
    • 0036081062 scopus 로고    scopus 로고
    • The KEGG databases at GenomeNet
    • Kanehisa, M. et al. (2002) The KEGG databases at GenomeNet. Nucleic Acids Res., 30, 42-46.
    • (2002) Nucleic Acids Res. , vol.30 , pp. 42-46
    • Kanehisa, M.1
  • 14
    • 0036371839 scopus 로고    scopus 로고
    • Filling preposition-based templates to capture information from medical abstracts
    • Lihue, Hawaii
    • Leroy, G. and Chen, H. (2002) Filling preposition-based templates to capture information from medical abstracts. In Proceedings of the Pacific Symposium on Biocomputing. Lihue, Hawaii, pp. 350-361.
    • (2002) Proceedings of the Pacific Symposium on Biocomputing , pp. 350-361
    • Leroy, G.1    Chen, H.2
  • 15
    • 0242606438 scopus 로고    scopus 로고
    • Ashallow parser based on closed-class words to capture relations in biomedical text
    • Leroy, G. et al. (2003)Ashallow parser based on closed-class words to capture relations in biomedical text. J. Biomed. Inform., 36, 145-158.
    • (2003) J. Biomed. Inform. , vol.36 , pp. 145-158
    • Leroy, G.1
  • 16
    • 0035002541 scopus 로고    scopus 로고
    • Mining literature for protein-protein interactions
    • Marcotte, E.M. et al. (2001) Mining literature for protein-protein interactions. Bioinformatics, 17, 359-363.
    • (2001) Bioinformatics , vol.17 , pp. 359-363
    • Marcotte, E.M.1
  • 17
    • 0035180309 scopus 로고    scopus 로고
    • Use of general-purpose negation detection to augment concept indexing of medical documents: a quantitative study using the UMLS
    • Mutalik, P.G. et al. (2001) Use of general-purpose negation detection to augment concept indexing of medical documents: a quantitative study using the UMLS. J. Am. Med. Inform. Assoc., 8, 598-609.
    • (2001) J. Am. Med. Inform. Assoc. , vol.8 , pp. 598-609
    • Mutalik, P.G.1
  • 18
    • 84860538817 scopus 로고    scopus 로고
    • Beyond the clause: extraction of phosphorylation information from medline abstracts
    • Narayanaswamy, M. et al. (2005) Beyond the clause: extraction of phosphorylation information from medline abstracts. Bioinformatics, 21, I319-I327.
    • (2005) Bioinformatics , vol.21
    • Narayanaswamy, M.1
  • 19
    • 75249101080 scopus 로고    scopus 로고
    • Evaluation of linguistic features useful in extraction of interactions from PubMed; application to annotating known, high-throughput and predicted interactions in I2D
    • Niu, Y. et al. (2010) Evaluation of linguistic features useful in extraction of interactions from PubMed; application to annotating known, high-throughput and predicted interactions in I2D. Bioinformatics, 26, 111-119.
    • (2010) Bioinformatics , vol.26 , pp. 111-119
    • Niu, Y.1
  • 20
    • 0035104866 scopus 로고    scopus 로고
    • Automated extraction of information on protein-protein interactions from the biological literature
    • Ono, T. et al. (2001) Automated extraction of information on protein-protein interactions from the biological literature. Bioinformatics, 17, 155-161.
    • (2001) Bioinformatics , vol.17 , pp. 155-161
    • Ono, T.1
  • 21
    • 44649108373 scopus 로고    scopus 로고
    • Comparative analysis of five protein-protein interaction corpora
    • Article No S6
    • Pyysalo, S. et al. (2008) Comparative analysis of five protein-protein interaction corpora. BMC Bioinformatics, 9, Article No. S6.
    • (2008) BMC Bioinformatics , vol.9
    • Pyysalo, S.1
  • 23
    • 34547844128 scopus 로고    scopus 로고
    • Negation of protein-protein interaction: analysis and extraction
    • Sanchez-Graillet, O. and Poesio, M. (2007) Negation of protein-protein interaction: analysis and extraction. Bioinformatics, 23, i424-i432.
    • (2007) Bioinformatics , vol.23
    • Sanchez-Graillet, O.1    Poesio, M.2
  • 24
    • 33645104154 scopus 로고    scopus 로고
    • Extraction of regulatory gene/protein networks from Medline
    • Saric, J. et al. (2006) Extraction of regulatory gene/protein networks from Medline. Bioinformatics, 22, 645-650.
    • (2006) Bioinformatics , vol.22 , pp. 645-650
    • Saric, J.1
  • 25
    • 0033971642 scopus 로고    scopus 로고
    • DIP: the database of interacting proteins
    • Xenarios, I. et al. (2000) DIP: the database of interacting proteins. Nucleic Acids Res., 28, 289-291.
    • (2000) Nucleic Acids Res. , vol.28 , pp. 289-291
    • Xenarios, I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.