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Journal Abstract Search

119 related items for PubMed ID: 33910494

  • 21. Identification of human protein complexes from local sub-graphs of protein-protein interaction network based on random forest with topological structure features.
    Li ZC, Lai YH, Chen LL, Zhou X, Dai Z, Zou XY.
    Anal Chim Acta; 2012 Mar 09; 718():32-41. PubMed ID: 22305895
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  • 23. Protein complex prediction in large ontology attributed protein-protein interaction networks.
    Zhang Y, Lin H, Yang Z, Wang J, Li Y, Xu B.
    IEEE/ACM Trans Comput Biol Bioinform; 2013 Mar 09; 10(3):729-41. PubMed ID: 24091405
    [Abstract] [Full Text] [Related]

  • 24. Protein complexes identification based on go attributed network embedding.
    Xu B, Li K, Zheng W, Liu X, Zhang Y, Zhao Z, He Z.
    BMC Bioinformatics; 2018 Dec 20; 19(1):535. PubMed ID: 30572820
    [Abstract] [Full Text] [Related]

  • 25. 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 20; 63(3):181-9. PubMed ID: 25765008
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  • 27. 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]

  • 28. Accurately Detecting Protein Complexes by Graph Embedding and Combining Functions with Interactions.
    Yao H, Shi Y, Guan J, Zhou S.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 Jun 25; 17(3):777-787. PubMed ID: 30736004
    [Abstract] [Full Text] [Related]

  • 29. Identifying complexes from protein interaction networks according to different types of neighborhood density.
    Fan JH, Chen J, Sze SH.
    J Comput Biol; 2012 Dec 25; 19(12):1284-94. PubMed ID: 23210476
    [Abstract] [Full Text] [Related]

  • 30. A novel scheme for essential protein discovery based on multi-source biological information.
    Liu W, Ma L, Chen L, Chen B, Jeon B, Qiang J.
    J Theor Biol; 2020 Nov 07; 504():110414. PubMed ID: 32712150
    [Abstract] [Full Text] [Related]

  • 31. 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 Nov 07; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 32. Identifying dynamic protein complexes based on gene expression profiles and PPI networks.
    Li M, Chen W, Wang J, Wu FX, Pan Y.
    Biomed Res Int; 2014 Nov 07; 2014():375262. PubMed ID: 24963481
    [Abstract] [Full Text] [Related]

  • 33. Construction of ontology augmented networks for protein complex prediction.
    Zhang Y, Lin H, Yang Z, Wang J.
    PLoS One; 2013 Nov 07; 8(5):e62077. PubMed ID: 23650509
    [Abstract] [Full Text] [Related]

  • 34. Improving the Detection of Protein Complexes by Predicting Novel Missing Interactome Links in the Protein-Protein Interaction Network.
    Zaki N, Alashwal H.
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul 07; 2018():5041-5044. PubMed ID: 30441473
    [Abstract] [Full Text] [Related]

  • 35. 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 07; 8(11):3036-48. PubMed ID: 22990765
    [Abstract] [Full Text] [Related]

  • 36. Impact of low-confidence interactions on computational identification of protein complexes.
    Paul M, Anand A.
    J Bioinform Comput Biol; 2020 Aug 07; 18(4):2050025. PubMed ID: 32757809
    [Abstract] [Full Text] [Related]

  • 37. 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 07; 15(2):177-94. PubMed ID: 23780996
    [Abstract] [Full Text] [Related]

  • 38. CAMWI: Detecting protein complexes using weighted clustering coefficient and weighted density.
    Lakizadeh A, Jalili S, Marashi SA.
    Comput Biol Chem; 2015 Oct 07; 58():231-40. PubMed ID: 26319550
    [Abstract] [Full Text] [Related]

  • 39. Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure.
    Peng W, Wang J, Zhao B, Wang L.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Oct 07; 12(1):179-92. PubMed ID: 26357088
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  • 40. MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm.
    Cao B, Luo J, Liang C, Wang S, Song D.
    Comput Biol Chem; 2015 Oct 07; 58():173-81. PubMed ID: 26298638
    [Abstract] [Full Text] [Related]

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