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Journal Abstract Search

259 related items for PubMed ID: 25707432

  • 41. Identifying essential proteins from protein-protein interaction networks based on influence maximization.
    Xu W, Dong Y, Guan J, Zhou S.
    BMC Bioinformatics; 2022 Aug 16; 23(Suppl 8):339. PubMed ID: 35974329
    [Abstract] [Full Text] [Related]

  • 42. 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 Aug 16; 2014():375262. PubMed ID: 24963481
    [Abstract] [Full Text] [Related]

  • 43. Modeling interactome: scale-free or geometric?
    Przulj N, Corneil DG, Jurisica I.
    Bioinformatics; 2004 Dec 12; 20(18):3508-15. PubMed ID: 15284103
    [Abstract] [Full Text] [Related]

  • 44. Centralities in simplicial complexes. Applications to protein interaction networks.
    Estrada E, Ross GJ.
    J Theor Biol; 2018 Feb 07; 438():46-60. PubMed ID: 29128505
    [Abstract] [Full Text] [Related]

  • 45. A Novel Core-Attachment-Based Method to Identify Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks.
    Xiao Q, Luo P, Li M, Wang J, Wu FX.
    Proteomics; 2019 Mar 07; 19(5):e1800129. PubMed ID: 30650262
    [Abstract] [Full Text] [Related]

  • 46. United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins.
    Li G, Li M, Wang J, Li Y, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 Mar 07; 17(4):1451-1458. PubMed ID: 30596582
    [Abstract] [Full Text] [Related]

  • 47. Integrating network topology, gene expression data and GO annotation information for protein complex prediction.
    Zhang W, Xu J, Li Y, Zou X.
    J Bioinform Comput Biol; 2019 Feb 07; 17(1):1950001. PubMed ID: 30803297
    [Abstract] [Full Text] [Related]

  • 48. Completing sparse and disconnected protein-protein network by deep learning.
    Huang L, Liao L, Wu CH.
    BMC Bioinformatics; 2018 Mar 22; 19(1):103. PubMed ID: 29566671
    [Abstract] [Full Text] [Related]

  • 49. Pairwise alignment of protein interaction networks.
    Koyutürk M, Kim Y, Topkara U, Subramaniam S, Szpankowski W, Grama A.
    J Comput Biol; 2006 Mar 22; 13(2):182-99. PubMed ID: 16597234
    [Abstract] [Full Text] [Related]

  • 50. Network simulation reveals significant contribution of network motifs to the age-dependency of yeast protein-protein interaction networks.
    Liang C, Luo J, Song D.
    Mol Biosyst; 2014 Jul 29; 10(9):2277-88. PubMed ID: 24964354
    [Abstract] [Full Text] [Related]

  • 51. Protein Complexes Prediction Method Based on Core-Attachment Structure and Functional Annotations.
    Li B, Liao B.
    Int J Mol Sci; 2017 Sep 06; 18(9):. PubMed ID: 28878201
    [Abstract] [Full Text] [Related]

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  • 53. Influence of degree correlations on network structure and stability in protein-protein interaction networks.
    Friedel CC, Zimmer R.
    BMC Bioinformatics; 2007 Aug 09; 8():297. PubMed ID: 17688687
    [Abstract] [Full Text] [Related]

  • 54. An integrated method for identifying essential proteins from multiplex network model of protein-protein interactions.
    Athira K, Gopakumar G.
    J Bioinform Comput Biol; 2020 Aug 09; 18(4):2050020. PubMed ID: 32795133
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  • 57. Prediction of essential proteins based on subcellular localization and gene expression correlation.
    Fan Y, Tang X, Hu X, Wu W, Ping Q.
    BMC Bioinformatics; 2017 Dec 01; 18(Suppl 13):470. PubMed ID: 29219067
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  • 60. A deep learning framework for identifying essential proteins based on multiple biological information.
    Yue Y, Ye C, Peng PY, Zhai HX, Ahmad I, Xia C, Wu YZ, Zhang YH.
    BMC Bioinformatics; 2022 Aug 04; 23(1):318. PubMed ID: 35927611
    [Abstract] [Full Text] [Related]

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