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Journal Abstract Search

445 related items for PubMed ID: 27117946

  • 41. Learning the structure of protein-protein interaction networks.
    Kuchaiev O, Przulj N.
    Pac Symp Biocomput; 2009; ():39-50. PubMed ID: 19209694
    [Abstract] [Full Text] [Related]

  • 42. Construction of Refined Protein Interaction Network for Predicting Essential Proteins.
    Li M, Ni P, Chen X, Wang J, Wu FX, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(4):1386-1397. PubMed ID: 28186903
    [Abstract] [Full Text] [Related]

  • 43. A Novel Method for Identifying Essential Genes by Fusing Dynamic Protein⁻Protein Interactive Networks.
    Zhang F, Peng W, Yang Y, Dai W, Song J.
    Genes (Basel); 2019 Jan 08; 10(1):. PubMed ID: 30626157
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  • 44. Assessment of high-confidence protein-protein interactome in yeast.
    Karagoz K, Arga KY.
    Comput Biol Chem; 2013 Aug 08; 45():1-8. PubMed ID: 23608186
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  • 45. A method for identifying protein complexes with the features of joint co-localization and joint co-expression in static PPI networks.
    Zhang J, Zhong C, Huang Y, Lin HX, Wang M.
    Comput Biol Med; 2019 Aug 08; 111():103333. PubMed ID: 31376777
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  • 46. From the static interactome to dynamic protein complexes: Three challenges.
    Yong CH, Wong L.
    J Bioinform Comput Biol; 2015 Apr 08; 13(2):1571001. PubMed ID: 25653145
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  • 47. Detection of dynamic protein complexes through Markov Clustering based on Elephant Herd Optimization Approach.
    Rani RR, Ramyachitra D, Brindhadevi A.
    Sci Rep; 2019 Jul 31; 9(1):11106. PubMed ID: 31366992
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  • 48. Protein complex identification by integrating protein-protein interaction evidence from multiple sources.
    Xu B, Lin H, Chen Y, Yang Z, Liu H.
    PLoS One; 2013 Jul 31; 8(12):e83841. PubMed ID: 24386289
    [Abstract] [Full Text] [Related]

  • 49. Modeling interactome: scale-free or geometric?
    Przulj N, Corneil DG, Jurisica I.
    Bioinformatics; 2004 Dec 12; 20(18):3508-15. PubMed ID: 15284103
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  • 50. A novel method to predict essential proteins based on tensor and HITS algorithm.
    Zhang Z, Luo Y, Hu S, Li X, Wang L, Zhao B.
    Hum Genomics; 2020 Apr 06; 14(1):14. PubMed ID: 32252824
    [Abstract] [Full Text] [Related]

  • 51. United Complex Centrality for Identification of Essential Proteins from PPI Networks.
    Li M, Lu Y, Niu Z, Wu FX.
    IEEE/ACM Trans Comput Biol Bioinform; 2017 Apr 06; 14(2):370-380. PubMed ID: 28368815
    [Abstract] [Full Text] [Related]

  • 52. 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]

  • 53. Construction and application of dynamic protein interaction network based on time course gene expression data.
    Wang J, Peng X, Li M, Pan Y.
    Proteomics; 2013 Jan 16; 13(2):301-12. PubMed ID: 23225755
    [Abstract] [Full Text] [Related]

  • 54. Functional centrality: detecting lethality of proteins in protein interaction networks.
    Tew KL, Li XL, Tan SH.
    Genome Inform; 2007 Jan 16; 19():166-77. PubMed ID: 18546514
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  • 55. Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network.
    Khunlertgit N, Yoon BJ.
    BMC Bioinformatics; 2016 Oct 06; 17(Suppl 13):351. PubMed ID: 27766944
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  • 56. Identification of essential proteins based on edge features and the fusion of multiple-source biological information.
    Liu P, Liu C, Mao Y, Guo J, Liu F, Cai W, Zhao F.
    BMC Bioinformatics; 2023 May 17; 24(1):203. PubMed ID: 37198530
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  • 57. PCD-GED: Protein complex detection considering PPI dynamics based on time series gene expression data.
    Lakizadeh A, Jalili S, Marashi SA.
    J Theor Biol; 2015 Aug 07; 378():31-8. PubMed ID: 25934349
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  • 58. 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
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  • 59. 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
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  • 60. Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model.
    Jeong H, Qian X, Yoon BJ.
    BMC Bioinformatics; 2016 Oct 06; 17(Suppl 13):395. PubMed ID: 27766938
    [Abstract] [Full Text] [Related]

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