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Journal Abstract Search

160 related items for PubMed ID: 23281936

  • 41.
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  • 43. CACO: A Core-Attachment Method With Cross-Species Functional Ortholog Information to Detect Human Protein Complexes.
    Wang W, Meng X, Xiang J, Shuai Y, Bedru HD, Li M.
    IEEE J Biomed Health Inform; 2023 Sep; 27(9):4569-4578. PubMed ID: 37399160
    [Abstract] [Full Text] [Related]

  • 44. 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]

  • 45. Improving protein function prediction using domain and protein complexes in PPI networks.
    Peng W, Wang J, Cai J, Chen L, Li M, Wu FX.
    BMC Syst Biol; 2014 Mar 24; 8():35. PubMed ID: 24655481
    [Abstract] [Full Text] [Related]

  • 46. Identifying protein complexes based on an edge weight algorithm and core-attachment structure.
    Wang R, Liu G, Wang C.
    BMC Bioinformatics; 2019 Sep 14; 20(1):471. PubMed ID: 31521132
    [Abstract] [Full Text] [Related]

  • 47. The relative vertex clustering value--a new criterion for the fast discovery of functional modules in protein interaction networks.
    Ibrahim ZM, Ngom A.
    BMC Bioinformatics; 2015 Sep 14; 16 Suppl 4(Suppl 4):S3. PubMed ID: 25734691
    [Abstract] [Full Text] [Related]

  • 48. C-element: a new clustering algorithm to find high quality functional modules in PPI networks.
    Ghasemi M, Rahgozar M, Bidkhori G, Masoudi-Nejad A.
    PLoS One; 2013 Sep 14; 8(9):e72366. PubMed ID: 24039752
    [Abstract] [Full Text] [Related]

  • 49. 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]

  • 50. Using indirect protein-protein interactions for protein complex prediction.
    Chua HN, Ning K, Sung WK, Leong HW, Wong L.
    J Bioinform Comput Biol; 2008 Jun 27; 6(3):435-66. PubMed ID: 18574858
    [Abstract] [Full Text] [Related]

  • 51. 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
    [Abstract] [Full Text] [Related]

  • 52. 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 Oct 06; 14(2):370-380. PubMed ID: 28368815
    [Abstract] [Full Text] [Related]

  • 53. ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks.
    Wang Y, Jeong H, Yoon BJ, Qian X.
    BMC Genomics; 2020 Nov 18; 21(Suppl 10):615. PubMed ID: 33208103
    [Abstract] [Full Text] [Related]

  • 54. The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction.
    Fang Y, Sun M, Dai G, Ramain K.
    IEEE/ACM Trans Comput Biol Bioinform; 2016 Nov 18; 13(1):76-85. PubMed ID: 26886733
    [Abstract] [Full Text] [Related]

  • 55. Protein Complexes Detection Based on Semi-Supervised Network Embedding Model.
    Zhu J, Zheng Z, Yang M, Fung GPC, Huang C.
    IEEE/ACM Trans Comput Biol Bioinform; 2021 Nov 18; 18(2):797-803. PubMed ID: 31581089
    [Abstract] [Full Text] [Related]

  • 56. Efficient and accurate identification of protein complexes from protein-protein interaction networks based on the clustering coefficient.
    Omranian S, Angeleska A, Nikoloski Z.
    Comput Struct Biotechnol J; 2021 Nov 18; 19():5255-5263. PubMed ID: 34630943
    [Abstract] [Full Text] [Related]

  • 57. Identifying protein complexes based on brainstorming strategy.
    Shen X, Zhou J, Yi L, Hu X, He T, Yang J.
    Methods; 2016 Nov 01; 110():44-53. PubMed ID: 27405005
    [Abstract] [Full Text] [Related]

  • 58. An automated method for finding molecular complexes in large protein interaction networks.
    Bader GD, Hogue CW.
    BMC Bioinformatics; 2003 Jan 13; 4():2. PubMed ID: 12525261
    [Abstract] [Full Text] [Related]

  • 59. Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources.
    Taghipour S, Zarrineh P, Ganjtabesh M, Nowzari-Dalini A.
    BMC Bioinformatics; 2017 Jan 03; 18(1):10. PubMed ID: 28049415
    [Abstract] [Full Text] [Related]

  • 60. 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 Jan 03; 2014():838714. PubMed ID: 25143945
    [Abstract] [Full Text] [Related]

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