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Volumn , Issue , 2011, Pages 63-68

A new measurement for evaluating clusters in protein interaction networks

Author keywords

algorithm; clustering; evaluation; Protein protein interaction network

Indexed keywords

CELLULAR ORGANIZATION; CLUSTERING; EVALUATION; F-MEASURE; FUNCTIONAL ANNOTATION; FUNCTIONAL MODULES; FUNCTIONAL SIMILARITY; GENE ONTOLOGY; HIERARCHICAL ORGANIZATIONS; P-VALUES; PREDICTION OF PROTEIN FUNCTION; PROTEIN COMPLEXES; PROTEIN INTERACTION NETWORKS; PROTEIN-PROTEIN INTERACTION NETWORK; PROTEIN-PROTEIN INTERACTION NETWORKS;

EID: 84862966773     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2011.47     Document Type: Conference Paper
Times cited : (1)

References (25)
  • 1
    • 0742305866 scopus 로고    scopus 로고
    • Network biology: Understanding the cell's functional organization
    • Barabasi A.L. and Oltvai Z.N. Network biology: understanding the cell's functional organization, Nat. Res., 2004, 5:101-114.
    • (2004) Nat. Res. , vol.5 , pp. 101-114
    • Barabasi, A.L.1    Oltvai, Z.N.2
  • 2
    • 0032489015 scopus 로고    scopus 로고
    • The cell as a collection of protein machines: Preparing the next generation of molecular biologists
    • DOI 10.1016/S0092-8674(00)80922-8
    • Alberts B. The cell as a collection of protein machines: preparing the next generation of molecular biologists. Cell 1998, 92, 291-294 (Pubitemid 28093007)
    • (1998) Cell , vol.92 , Issue.3 , pp. 291-294
    • Alberts, B.1
  • 4
    • 2942552459 scopus 로고    scopus 로고
    • An automated method for finding molecular complexes in large protein interaction networks
    • Bader G.D. and Hogue C.W. An automated method for finding molecular complexes in large protein interaction networks, BMC Bioinformatics, 2003, 4:2.
    • (2003) BMC Bioinformatics , vol.4 , pp. 2
    • Bader, G.D.1    Hogue, C.W.2
  • 5
    • 33748579201 scopus 로고    scopus 로고
    • Interaction Graph Mining for Protein Complexes Using Local Clique Merging
    • Li XL, Tan S, Foo C and Ng S. Interaction Graph Mining for Protein Complexes Using Local Clique Merging. Genome Informatics, 2005, 16(2): 260-269.
    • (2005) Genome Informatics , vol.16 , Issue.2 , pp. 260-269
    • Li, X.L.1    Tan, S.2    Foo, C.3    Ng, S.4
  • 6
    • 33744805096 scopus 로고    scopus 로고
    • Development and implementation of an algorithm for detection of protein complexes in large interaction networks
    • Altaf-Ul-Amin M, Shinbo Y, Mihara K, et al. Development and implementation of an algorithm for detection of protein complexes in large interaction networks, BMC Bioinformatics, 2006, 7:207.
    • (2006) BMC Bioinformatics , vol.7 , pp. 207
    • Altaf-Ul-Amin, M.1    Shinbo, Y.2    Mihara, K.3
  • 7
    • 54349096842 scopus 로고    scopus 로고
    • Modifying the DPClus algorithm for identifying protein complexes based on new topological structures
    • Li M, Chen J, Wang J, et al. Modifying the DPClus algorithm for identifying protein complexes based on new topological structures, BMC Bioinformatics, 2008, 9:398.
    • (2008) BMC Bioinformatics , vol.9 , pp. 398
    • Li, M.1    Chen, J.2    Wang, J.3
  • 8
    • 77951288682 scopus 로고    scopus 로고
    • Identifying the Overlapping Complexes in Protein Interaction Networks
    • Li M, Wang J, Chen J, et al. Identifying the Overlapping Complexes in Protein Interaction Networks. Int. J. DataMing and Bioinformatics, 2010, 4(1):91-108.
    • (2010) Int. J. DataMing and Bioinformatics , vol.4 , Issue.1 , pp. 91-108
    • Li, M.1    Wang, J.2    Chen, J.3
  • 9
    • 10244264813 scopus 로고    scopus 로고
    • Protein complex prediction via cost-based clustering
    • DOI 10.1093/bioinformatics/bth351
    • King A D, Przulj N, Jurisica I. Protein complex prediction via cost-based clustering, Bioinformatics, 2004, 20(17):3013-3020. (Pubitemid 39619193)
    • (2004) Bioinformatics , vol.20 , Issue.17 , pp. 3013-3020
    • King, A.D.1    Przulj, N.2    Jurisica, I.3
  • 10
    • 38349102446 scopus 로고    scopus 로고
    • An efficient spectral algorithm for network community discovery and its applications to biological and social networks
    • Perner P, ed.
    • Ruan J H, Zhang W X. An efficient spectral algorithm for network community discovery and its applications to biological and social networks. In: Perner P, ed. Proceedings of the 7th IEEE International Conference on Data Mining. 2007, 72: 643-648
    • (2007) Proceedings of the 7th IEEE International Conference on Data Mining , vol.72 , pp. 643-648
    • Ruan, J.H.1    Zhang, W.X.2
  • 12
    • 79952841798 scopus 로고    scopus 로고
    • A fast hierarchical clustering algorithm for functional modules discovery in protein interaction networks
    • Wang J, Li M, Chen J and Pan Y. A fast hierarchical clustering algorithm for functional modules discovery in protein interaction networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2011, 8(3):607-620.
    • (2011) IEEE/ACM Transactions on Computational Biology and Bioinformatics , vol.8 , Issue.3 , pp. 607-620
    • Wang, J.1    Li, M.2    Chen, J.3    Pan, Y.4
  • 13
    • 46249126321 scopus 로고    scopus 로고
    • Protein complex identification by supervised graph local clustering
    • Qi Y, Balem F, Faloutsos C, et al. Protein complex identification by supervised graph local clustering. Bioinformatics 2008, 250-258.
    • (2008) Bioinformatics , pp. 250-258
    • Qi, Y.1    Balem, F.2    Faloutsos, C.3
  • 14
    • 76749150479 scopus 로고    scopus 로고
    • Computational approaches for detecting protein complexes from protein interaction networks: A survey
    • Li X, Wu M, Kwoh C and Ng S. Computational approaches for detecting protein complexes from protein interaction networks: a survey. BMC Genomics 2010, 11(suppl 1):S3
    • (2010) BMC Genomics , vol.11 , Issue.SUPPL. 1
    • Li, X.1    Wu, M.2    Kwoh, C.3    Ng, S.4
  • 15
    • 78649679994 scopus 로고    scopus 로고
    • Recent advances in clustering methods for protein interaction networks
    • Wang J, Li M, Deng Y and Pan Y. Recent advances in clustering methods for protein interaction networks. BMC Genomics 2010, 11(Suppl 3):S10.
    • (2010) BMC Genomics , vol.11 , Issue.SUPPL. 3
    • Wang, J.1    Li, M.2    Deng, Y.3    Pan, Y.4
  • 16
    • 33751255087 scopus 로고    scopus 로고
    • Evaluation of clustering algorithms for protein-protein interaction networks
    • Brohe S, van Helden J. Evaluation of clustering algorithms for protein-protein interaction networks. BMC Bioinformatics, 2006, 7:488
    • (2006) BMC Bioinformatics , vol.7 , pp. 488
    • Brohe, S.1    Van Helden, J.2
  • 18
    • 75949120438 scopus 로고    scopus 로고
    • How and when should interactome-derived clusters be used to predict functional modules and protein function?
    • Song J and Singh M. How and when should interactome-derived clusters be used to predict functional modules and protein function? Bioinformatics, 2009, 25(23):3143-3150.
    • (2009) Bioinformatics , vol.25 , Issue.23 , pp. 3143-3150
    • Song, J.1    Singh, M.2
  • 19
    • 0003033112 scopus 로고
    • Using information content to evaluate semantic similarity in a taxonomy
    • Resnik P. Using information content to evaluate semantic similarity in a taxonomy.In IJCAI, 1995, 448-453.
    • (1995) IJCAI , pp. 448-453
    • Resnik, P.1
  • 23
    • 34447294237 scopus 로고    scopus 로고
    • A new method to measure the semantic similarity of GO terms
    • DOI 10.1093/bioinformatics/btm087
    • Wang J, Du Z, Payattakool R, et al. A new method to measure the semantic similarity of go terms. Bioinformatics, 2007, 23(10):1274-1281. (Pubitemid 47050544)
    • (2007) Bioinformatics , vol.23 , Issue.10 , pp. 1274-1281
    • Wang, J.Z.1    Du, Z.2    Payattakool, R.3    Yu, P.S.4    Chen, C.-F.5
  • 24
    • 33746058639 scopus 로고    scopus 로고
    • Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization
    • AI 2006
    • Kiritchenko S, Matwin S, Nock R, and Famili A. Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization. AI 2006, LNAI 4013,395-406.
    • LNAI , vol.4013 , pp. 395-406
    • Kiritchenko, S.1    Matwin, S.2    Nock, R.3    Famili, A.4
  • 25
    • 0036088133 scopus 로고    scopus 로고
    • DIP: The Database of Interaction Proteins: A research tool for studying cellular networks of protien interactions
    • Xenarios I.et al. DIP: the Database of Interaction Proteins: a research tool for studying cellular networks of protien interactions, Nucleic Acids Res, 2002, 30, 303-305.
    • (2002) Nucleic Acids Res , vol.30 , pp. 303-305
    • Xenarios, I.1


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