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Journal Abstract Search

155 related items for PubMed ID: 24818139

  • 1. A novel algorithm for detecting protein complexes with the breadth first search.
    Tang X, Wang J, Li M, He Y, Pan Y.
    Biomed Res Int; 2014; 2014():354539. PubMed ID: 24818139
    [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 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]

  • 4. 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]

  • 5. An effective approach to detecting both small and large complexes from protein-protein interaction networks.
    Xu B, Wang Y, Wang Z, Zhou J, Zhou S, Guan J.
    BMC Bioinformatics; 2017 Oct 16; 18(Suppl 12):419. PubMed ID: 29072136
    [Abstract] [Full Text] [Related]

  • 6. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks.
    Xu B, Guan J.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Oct 16; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 7. Identifying hierarchical and overlapping protein complexes based on essential protein-protein interactions and "seed-expanding" method.
    Ren J, Zhou W, Wang J.
    Biomed Res Int; 2014 Oct 16; 2014():838714. PubMed ID: 25143945
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  • 8. Identification of protein complexes by integrating multiple alignment of protein interaction networks.
    Ma CY, Chen YP, Berger B, Liao CS.
    Bioinformatics; 2017 Jun 01; 33(11):1681-1688. PubMed ID: 28130237
    [Abstract] [Full Text] [Related]

  • 9. 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 Jun 01; 12(10):e0186134. PubMed ID: 29045465
    [Abstract] [Full Text] [Related]

  • 10. 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]

  • 11. False positive reduction in protein-protein interaction predictions using gene ontology annotations.
    Mahdavi MA, Lin YH.
    BMC Bioinformatics; 2007 Jul 23; 8():262. PubMed ID: 17645798
    [Abstract] [Full Text] [Related]

  • 12. A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification.
    Yu L, Gao L, Li K, Zhao Y, Chiu DK.
    Comput Biol Chem; 2011 Oct 12; 35(5):298-307. PubMed ID: 22000801
    [Abstract] [Full Text] [Related]

  • 13. Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering.
    Theofilatos K, Pavlopoulou N, Papasavvas C, Likothanassis S, Dimitrakopoulos C, Georgopoulos E, Moschopoulos C, Mavroudi S.
    Artif Intell Med; 2015 Mar 12; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 14. Predicting overlapping protein complexes from weighted protein interaction graphs by gradually expanding dense neighborhoods.
    Dimitrakopoulos C, Theofilatos K, Pegkas A, Likothanassis S, Mavroudi S.
    Artif Intell Med; 2016 Jul 12; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 15. Efficient and accurate Greedy Search Methods for mining functional modules in protein interaction networks.
    He J, Li C, Ye B, Zhong W.
    BMC Bioinformatics; 2012 Jun 25; 13 Suppl 10(Suppl 10):S19. PubMed ID: 22759424
    [Abstract] [Full Text] [Related]

  • 16. A Type-2 fuzzy data fusion approach for building reliable weighted protein interaction networks with application in protein complex detection.
    Mehranfar A, Ghadiri N, Kouhsar M, Golshani A.
    Comput Biol Med; 2017 Sep 01; 88():18-31. PubMed ID: 28672176
    [Abstract] [Full Text] [Related]

  • 17. Identifying protein complexes using hybrid properties.
    Chen L, Shi X, Kong X, Zeng Z, Cai YD.
    J Proteome Res; 2009 Nov 01; 8(11):5212-8. PubMed ID: 19764809
    [Abstract] [Full Text] [Related]

  • 18. Detection of protein complexes from affinity purification/mass spectrometry data.
    Cai B, Wang H, Zheng H, Wang H.
    BMC Syst Biol; 2012 Nov 01; 6 Suppl 3(Suppl 3):S4. PubMed ID: 23282282
    [Abstract] [Full Text] [Related]

  • 19. Impact of low-confidence interactions on computational identification of protein complexes.
    Paul M, Anand A.
    J Bioinform Comput Biol; 2020 Aug 01; 18(4):2050025. PubMed ID: 32757809
    [Abstract] [Full Text] [Related]

  • 20. Protein complex prediction via dense subgraphs and false positive analysis.
    Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J.
    PLoS One; 2017 Aug 01; 12(9):e0183460. PubMed ID: 28937982
    [Abstract] [Full Text] [Related]

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