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Journal Abstract Search

198 related items for PubMed ID: 23702559

  • 61. Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data.
    You ZH, Lei YK, Gui J, Huang DS, Zhou X.
    Bioinformatics; 2010 Nov 01; 26(21):2744-51. PubMed ID: 20817744
    [Abstract] [Full Text] [Related]

  • 62. Network based prediction of protein localisation using diffusion kernel.
    Mondal A, Hu J.
    Int J Data Min Bioinform; 2014 Nov 01; 9(4):386-400. PubMed ID: 25757246
    [Abstract] [Full Text] [Related]

  • 63. Network analysis and in silico prediction of protein-protein interactions with applications in drug discovery.
    Murakami Y, Tripathi LP, Prathipati P, Mizuguchi K.
    Curr Opin Struct Biol; 2017 Jun 01; 44():134-142. PubMed ID: 28364585
    [Abstract] [Full Text] [Related]

  • 64. Interaction generality, a measurement to assess the reliability of a protein-protein interaction.
    Saito R, Suzuki H, Hayashizaki Y.
    Nucleic Acids Res; 2002 Mar 01; 30(5):1163-8. PubMed ID: 11861907
    [Abstract] [Full Text] [Related]

  • 65. Efficient prediction of human protein-protein interactions at a global scale.
    Schoenrock A, Samanfar B, Pitre S, Hooshyar M, Jin K, Phillips CA, Wang H, Phanse S, Omidi K, Gui Y, Alamgir M, Wong A, Barrenäs F, Babu M, Benson M, Langston MA, Green JR, Dehne F, Golshani A.
    BMC Bioinformatics; 2014 Dec 10; 15(1):383. PubMed ID: 25492630
    [Abstract] [Full Text] [Related]

  • 66. Missing and spurious interactions and the reconstruction of complex networks.
    Guimerà R, Sales-Pardo M.
    Proc Natl Acad Sci U S A; 2009 Dec 29; 106(52):22073-8. PubMed ID: 20018705
    [Abstract] [Full Text] [Related]

  • 67. Triangle network motifs predict complexes by complementing high-error interactomes with structural information.
    Andreopoulos B, Winter C, Labudde D, Schroeder M.
    BMC Bioinformatics; 2009 Jun 27; 10():196. PubMed ID: 19558694
    [Abstract] [Full Text] [Related]

  • 68. IAS: Interaction Specific GO Term Associations for Predicting Protein-Protein Interaction Networks.
    Yerneni S, Khan IK, Wei Q, Kihara D.
    IEEE/ACM Trans Comput Biol Bioinform; 2018 Jun 27; 15(4):1247-1258. PubMed ID: 26415209
    [Abstract] [Full Text] [Related]

  • 69. Protein function prediction from dynamic protein interaction network using gene expression data.
    Saha S, Prasad A, Chatterjee P, Basu S, Nasipuri M.
    J Bioinform Comput Biol; 2019 Aug 27; 17(4):1950025. PubMed ID: 31617461
    [Abstract] [Full Text] [Related]

  • 70. Predicting diabetes mellitus genes via protein-protein interaction and protein subcellular localization information.
    Tang X, Hu X, Yang X, Fan Y, Li Y, Hu W, Liao Y, Zheng MC, Peng W, Gao L.
    BMC Genomics; 2016 Aug 18; 17 Suppl 4(Suppl 4):433. PubMed ID: 27535125
    [Abstract] [Full Text] [Related]

  • 71. 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]

  • 72. Studying protein-protein interactions: progress, pitfalls and solutions.
    Hayes S, Malacrida B, Kiely M, Kiely PA.
    Biochem Soc Trans; 2016 Aug 15; 44(4):994-1004. PubMed ID: 27528744
    [Abstract] [Full Text] [Related]

  • 73. Degree-adjusted algorithm for prioritisation of candidate disease genes from gene expression and protein interactome.
    Wang Y, Fang H, Yang T, Wu D, Zhao J.
    IET Syst Biol; 2014 Apr 15; 8(2):41-6. PubMed ID: 25014224
    [Abstract] [Full Text] [Related]

  • 74. A generative model for protein contact networks.
    Livi L, Maiorino E, Giuliani A, Rizzi A, Sadeghian A.
    J Biomol Struct Dyn; 2016 Jul 15; 34(7):1441-54. PubMed ID: 26474097
    [Abstract] [Full Text] [Related]

  • 75. Identifying essential proteins from active PPI networks constructed with dynamic gene expression.
    Xiao Q, Wang J, Peng X, Wu FX, Pan Y.
    BMC Genomics; 2015 Jul 15; 16 Suppl 3(Suppl 3):S1. PubMed ID: 25707432
    [Abstract] [Full Text] [Related]

  • 76.
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  • 77. Network archaeology: uncovering ancient networks from present-day interactions.
    Navlakha S, Kingsford C.
    PLoS Comput Biol; 2011 Apr 15; 7(4):e1001119. PubMed ID: 21533211
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  • 78.
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  • 80. Using large-scale perturbations in gene network reconstruction.
    MacCarthy T, Pomiankowski A, Seymour R.
    BMC Bioinformatics; 2005 Jan 19; 6():11. PubMed ID: 15659246
    [Abstract] [Full Text] [Related]

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