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Journal Abstract Search

163 related items for PubMed ID: 23282200

  • 1. Temporal dynamics of protein complexes in PPI networks: a case study using yeast cell cycle dynamics.
    Srihari S, Leong HW.
    BMC Bioinformatics; 2012; 13 Suppl 17(Suppl 17):S16. PubMed ID: 23282200
    [Abstract] [Full Text] [Related]

  • 2. MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure.
    Srihari S, Ning K, Leong HW.
    BMC Bioinformatics; 2010 Oct 12; 11():504. PubMed ID: 20939868
    [Abstract] [Full Text] [Related]

  • 3. A survey of computational methods for protein complex prediction from protein interaction networks.
    Srihari S, Leong HW.
    J Bioinform Comput Biol; 2013 Apr 12; 11(2):1230002. PubMed ID: 23600810
    [Abstract] [Full Text] [Related]

  • 4. Identifying conserved protein complexes between species by constructing interolog networks.
    Nguyen PV, Srihari S, Leong HW.
    BMC Bioinformatics; 2013 Apr 12; 14 Suppl 16(Suppl 16):S8. PubMed ID: 24564762
    [Abstract] [Full Text] [Related]

  • 5. Construction of dynamic probabilistic protein interaction networks for protein complex identification.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Bioinformatics; 2016 Apr 27; 17(1):186. PubMed ID: 27117946
    [Abstract] [Full Text] [Related]

  • 6. Identifying protein complex by integrating characteristic of core-attachment into dynamic PPI network.
    Shen X, Yi L, Jiang X, He T, Yang J, Xie W, Hu P, Hu X.
    PLoS One; 2017 Apr 27; 12(10):e0186134. PubMed ID: 29045465
    [Abstract] [Full Text] [Related]

  • 7. Identifying protein complexes and functional modules--from static PPI networks to dynamic PPI networks.
    Chen B, Fan W, Liu J, Wu FX.
    Brief Bioinform; 2014 Mar 27; 15(2):177-94. PubMed ID: 23780996
    [Abstract] [Full Text] [Related]

  • 8. Detecting temporal protein complexes from dynamic protein-protein interaction networks.
    Ou-Yang L, Dai DQ, Li XL, Wu M, Zhang XF, Yang P.
    BMC Bioinformatics; 2014 Oct 04; 15(1):335. PubMed ID: 25282536
    [Abstract] [Full Text] [Related]

  • 9. Methods for protein complex prediction and their contributions towards understanding the organisation, function and dynamics of complexes.
    Srihari S, Yong CH, Patil A, Wong L.
    FEBS Lett; 2015 Sep 14; 589(19 Pt A):2590-602. PubMed ID: 25913176
    [Abstract] [Full Text] [Related]

  • 10. Protein complex prediction via dense subgraphs and false positive analysis.
    Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J.
    PLoS One; 2017 Sep 14; 12(9):e0183460. PubMed ID: 28937982
    [Abstract] [Full Text] [Related]

  • 11. msiDBN: a method of identifying critical proteins in dynamic PPI networks.
    Zhang Y, Du N, Li K, Feng J, Jia K, Zhang A.
    Biomed Res Int; 2014 Sep 14; 2014():138410. PubMed ID: 24800204
    [Abstract] [Full Text] [Related]

  • 12. Detection of overlapping protein complexes in gene expression, phenotype and pathways of Saccharomyces cerevisiae using Prorank based Fuzzy algorithm.
    Manikandan P, Ramyachitra D, Banupriya D.
    Gene; 2016 Apr 15; 580(2):144-158. PubMed ID: 26809099
    [Abstract] [Full Text] [Related]

  • 13. 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
    [Abstract] [Full Text] [Related]

  • 14. Identifying Protein Complexes from Dynamic Temporal Interval Protein-Protein Interaction Networks.
    Zhang J, Zhong C, Lin HX, Wang M.
    Biomed Res Int; 2019 May 23; 2019():3726721. PubMed ID: 31531351
    [Abstract] [Full Text] [Related]

  • 15. A density-based clustering approach for identifying overlapping protein complexes with functional preferences.
    Hu L, Chan KC.
    BMC Bioinformatics; 2015 May 27; 16():174. PubMed ID: 26013799
    [Abstract] [Full Text] [Related]

  • 16. Identification of highly synchronized subnetworks from gene expression data.
    Gao S, Wang X.
    BMC Bioinformatics; 2013 May 27; 14 Suppl 9(Suppl 9):S5. PubMed ID: 23901792
    [Abstract] [Full Text] [Related]

  • 17. A core-attachment based method to detect protein complexes in PPI networks.
    Wu M, Li X, Kwoh CK, Ng SK.
    BMC Bioinformatics; 2009 Jun 02; 10():169. PubMed ID: 19486541
    [Abstract] [Full Text] [Related]

  • 18. Discovering functional interdependence relationship in PPI networks for protein complex identification.
    Lam WW, Chan KC.
    IEEE Trans Biomed Eng; 2012 Apr 02; 59(4):899-908. PubMed ID: 21095855
    [Abstract] [Full Text] [Related]

  • 19. A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.
    Ou-Yang L, Yan H, Zhang XF.
    BMC Bioinformatics; 2017 Dec 01; 18(Suppl 13):463. PubMed ID: 29219066
    [Abstract] [Full Text] [Related]

  • 20. Detecting protein complexes in a PPI network: a gene ontology based multi-objective evolutionary approach.
    Mukhopadhyay A, Ray S, De M.
    Mol Biosyst; 2012 Nov 01; 8(11):3036-48. PubMed ID: 22990765
    [Abstract] [Full Text] [Related]

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