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Journal Abstract Search

404 related items for PubMed ID: 18586718

  • 1. Identifying functional modules in protein-protein interaction networks: an integrated exact approach.
    Dittrich MT, Klau GW, Rosenwald A, Dandekar T, Müller T.
    Bioinformatics; 2008 Jul 01; 24(13):i223-31. PubMed ID: 18586718
    [Abstract] [Full Text] [Related]

  • 2. Functional Module Analysis for Gene Coexpression Networks with Network Integration.
    Zhang S, Zhao H, Ng MK.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Jul 01; 12(5):1146-60. PubMed ID: 26451826
    [Abstract] [Full Text] [Related]

  • 3. Fitting a geometric graph to a protein-protein interaction network.
    Higham DJ, Rasajski M, Przulj N.
    Bioinformatics; 2008 Apr 15; 24(8):1093-9. PubMed ID: 18344248
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  • 5. Functional module identification in protein interaction networks by interaction patterns.
    Wang Y, Qian X.
    Bioinformatics; 2014 Jan 01; 30(1):81-93. PubMed ID: 24085567
    [Abstract] [Full Text] [Related]

  • 6. An efficient algorithm for detecting frequent subgraphs in biological networks.
    Koyutürk M, Grama A, Szpankowski W.
    Bioinformatics; 2004 Aug 04; 20 Suppl 1():i200-7. PubMed ID: 15262800
    [Abstract] [Full Text] [Related]

  • 7. Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data.
    Li M, Wu X, Wang J, Pan Y.
    BMC Bioinformatics; 2012 May 23; 13():109. PubMed ID: 22621308
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  • 9. LocalAli: an evolutionary-based local alignment approach to identify functionally conserved modules in multiple networks.
    Hu J, Reinert K.
    Bioinformatics; 2015 Feb 01; 31(3):363-72. PubMed ID: 25282642
    [Abstract] [Full Text] [Related]

  • 10. Identification of differentially expressed subnetworks based on multivariate ANOVA.
    Hwang T, Park T.
    BMC Bioinformatics; 2009 Apr 30; 10():128. PubMed ID: 19405941
    [Abstract] [Full Text] [Related]

  • 11. Detecting functional modules in the yeast protein-protein interaction network.
    Chen J, Yuan B.
    Bioinformatics; 2006 Sep 15; 22(18):2283-90. PubMed ID: 16837529
    [Abstract] [Full Text] [Related]

  • 12. Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources.
    Taghipour S, Zarrineh P, Ganjtabesh M, Nowzari-Dalini A.
    BMC Bioinformatics; 2017 Jan 03; 18(1):10. PubMed ID: 28049415
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  • 14. Semantic integration to identify overlapping functional modules in protein interaction networks.
    Cho YR, Hwang W, Ramanathan M, Zhang A.
    BMC Bioinformatics; 2007 Jul 24; 8():265. PubMed ID: 17650343
    [Abstract] [Full Text] [Related]

  • 15. Edge-based scoring and searching method for identifying condition-responsive protein-protein interaction sub-network.
    Guo Z, Wang L, Li Y, Gong X, Yao C, Ma W, Wang D, Li Y, Zhu J, Zhang M, Yang D, Rao S, Wang J.
    Bioinformatics; 2007 Aug 15; 23(16):2121-8. PubMed ID: 17545181
    [Abstract] [Full Text] [Related]

  • 16. A scalable approach for discovering conserved active subnetworks across species.
    Deshpande R, Sharma S, Verfaillie CM, Hu WS, Myers CL.
    PLoS Comput Biol; 2010 Dec 09; 6(12):e1001028. PubMed ID: 21170309
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  • 19. Identification of highly synchronized subnetworks from gene expression data.
    Gao S, Wang X.
    BMC Bioinformatics; 2013 Dec 09; 14 Suppl 9(Suppl 9):S5. PubMed ID: 23901792
    [Abstract] [Full Text] [Related]

  • 20. Functional module search in protein networks based on semantic similarity improves the analysis of proteomics data.
    Boyanova D, Nilla S, Klau GW, Dandekar T, Müller T, Dittrich M.
    Mol Cell Proteomics; 2014 Jul 09; 13(7):1877-89. PubMed ID: 24807868
    [Abstract] [Full Text] [Related]

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