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Journal Abstract Search

192 related items for PubMed ID: 23225755

  • 1. 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; 13(2):301-12. PubMed ID: 23225755
    [Abstract] [Full Text] [Related]

  • 2. Mining Temporal Protein Complex Based on the Dynamic PIN Weighted with Connected Affinity and Gene Co-Expression.
    Shen X, Yi L, Jiang X, He T, Hu X, Yang J.
    PLoS One; 2016 Jan; 11(4):e0153967. PubMed ID: 27100396
    [Abstract] [Full Text] [Related]

  • 3. Construction of dynamic protein interaction network based on gene expression data and quartile one principle.
    Noori S, Al-A'araji N, Al-Shamery E.
    Proteins; 2022 May; 90(5):1219-1228. PubMed ID: 35064702
    [Abstract] [Full Text] [Related]

  • 4. Dynamic protein interaction network construction and applications.
    Wang J, Peng X, Peng W, Wu FX.
    Proteomics; 2014 Mar; 14(4-5):338-52. PubMed ID: 24339054
    [Abstract] [Full Text] [Related]

  • 5. Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network.
    Li M, Meng X, Zheng R, Wu FX, Li Y, Pan Y, Wang J.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 Mar; 17(3):817-827. PubMed ID: 28885159
    [Abstract] [Full Text] [Related]

  • 6. hF-measure: A new measurement for evaluating clusters in protein-protein interaction networks.
    Li M, Wu X, Pan Y, Wang J.
    Proteomics; 2013 Jan; 13(2):291-300. PubMed ID: 23193073
    [Abstract] [Full Text] [Related]

  • 7. 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 Jan; 16(4):1386-1397. PubMed ID: 28186903
    [Abstract] [Full Text] [Related]

  • 8. Identifying protein complexes from interactome based on essential proteins and local fitness method.
    Wang J, Chen G, Liu B, Li M, Pan Y.
    IEEE Trans Nanobioscience; 2012 Dec; 11(4):324-35. PubMed ID: 22711784
    [Abstract] [Full Text] [Related]

  • 9. 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
    [Abstract] [Full Text] [Related]

  • 10. Globally predicting protein functions based on co-expressed protein-protein interaction networks and ontology taxonomy similarities.
    Zhu M, Gao L, Guo Z, Li Y, Wang D, Wang J, Wang C.
    Gene; 2007 Apr 15; 391(1-2):113-9. PubMed ID: 17289301
    [Abstract] [Full Text] [Related]

  • 11. Detection of protein complexes using a protein ranking algorithm.
    Zaki N, Berengueres J, Efimov D.
    Proteins; 2012 Oct 15; 80(10):2459-68. PubMed ID: 22685080
    [Abstract] [Full Text] [Related]

  • 12. 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 15; 19(5):e1800129. PubMed ID: 30650262
    [Abstract] [Full Text] [Related]

  • 13. [The study on the characters of membrane protein interaction and its network based on integrated intelligence method].
    Shen Y, Ding Y, Hao K.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Aug 15; 28(4):658-62. PubMed ID: 21936357
    [Abstract] [Full Text] [Related]

  • 14. A method for predicting protein complex in dynamic PPI networks.
    Zhang Y, Lin H, Yang Z, Wang J, Liu Y, Sang S.
    BMC Bioinformatics; 2016 Jul 25; 17 Suppl 7(Suppl 7):229. PubMed ID: 27454775
    [Abstract] [Full Text] [Related]

  • 15. Identifying protein complexes in protein-protein interaction networks by using clique seeds and graph entropy.
    Chen B, Shi J, Zhang S, Wu FX.
    Proteomics; 2013 Jan 25; 13(2):269-77. PubMed ID: 23112006
    [Abstract] [Full Text] [Related]

  • 16. A Construction Method of Dynamic Protein Interaction Networks by Using Relevant Features of Gene Expression Data.
    Sun J, Pan L, Li B, Wang H, Yang B, Li W.
    IEEE/ACM Trans Comput Biol Bioinform; 2023 Jan 25; 20(5):2790-2801. PubMed ID: 37030714
    [Abstract] [Full Text] [Related]

  • 17. Construction of dynamic probabilistic protein interaction networks for protein complex identification.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Bioinformatics; 2016 Apr 27; 17(1):186. PubMed ID: 27117946
    [Abstract] [Full Text] [Related]

  • 18. From pull-down data to protein interaction networks and complexes with biological relevance.
    Zhang B, Park BH, Karpinets T, Samatova NF.
    Bioinformatics; 2008 Apr 01; 24(7):979-86. PubMed ID: 18304937
    [Abstract] [Full Text] [Related]

  • 19. 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 01; 8(11):3036-48. PubMed ID: 22990765
    [Abstract] [Full Text] [Related]

  • 20. Fitting a geometric graph to a protein-protein interaction network.
    Higham DJ, Rasajski M, Przulj N.
    Bioinformatics; 2008 Apr 15; 24(8):1093-9. PubMed ID: 18344248
    [Abstract] [Full Text] [Related]

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