These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

149 related items for PubMed ID: 23210476

  • 1. Identifying complexes from protein interaction networks according to different types of neighborhood density.
    Fan JH, Chen J, Sze SH.
    J Comput Biol; 2012 Dec; 19(12):1284-94. PubMed ID: 23210476
    [Abstract] [Full Text] [Related]

  • 2. Modifying the DPClus algorithm for identifying protein complexes based on new topological structures.
    Li M, Chen JE, Wang JX, Hu B, Chen G.
    BMC Bioinformatics; 2008 Sep 25; 9():398. PubMed ID: 18816408
    [Abstract] [Full Text] [Related]

  • 3. Identification of protein complexes from multi-relationship protein interaction networks.
    Li X, Wang J, Zhao B, Wu FX, Pan Y.
    Hum Genomics; 2016 Jul 25; 10 Suppl 2(Suppl 2):17. PubMed ID: 27461193
    [Abstract] [Full Text] [Related]

  • 4. Functional module identification in protein interaction networks by interaction patterns.
    Wang Y, Qian X.
    Bioinformatics; 2014 Jan 01; 30(1):81-93. PubMed ID: 24085567
    [Abstract] [Full Text] [Related]

  • 5. Protein complex prediction via dense subgraphs and false positive analysis.
    Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J.
    PLoS One; 2017 Jan 01; 12(9):e0183460. PubMed ID: 28937982
    [Abstract] [Full Text] [Related]

  • 6. Protein complexes predictions within protein interaction networks using genetic algorithms.
    Ramadan E, Naef A, Ahmed M.
    BMC Bioinformatics; 2016 Jul 25; 17 Suppl 7(Suppl 7):269. PubMed ID: 27454228
    [Abstract] [Full Text] [Related]

  • 7. Detecting protein complexes in protein interaction networks using a ranking algorithm with a refined merging procedure.
    Hanna EM, Zaki N.
    BMC Bioinformatics; 2014 Jun 19; 15():204. PubMed ID: 24944073
    [Abstract] [Full Text] [Related]

  • 8.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 9. Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data.
    Li M, Wu X, Wang J, Pan Y.
    BMC Bioinformatics; 2012 May 23; 13():109. PubMed ID: 22621308
    [Abstract] [Full Text] [Related]

  • 10. Disruption of Protein Complexes from Weighted Complex Networks.
    Habibi M, Khosravi P.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 May 23; 17(1):102-109. PubMed ID: 30047895
    [Abstract] [Full Text] [Related]

  • 11.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 12. 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]

  • 13. Discover protein complexes in protein-protein interaction networks using parametric local modularity.
    Kim J, Tan K.
    BMC Bioinformatics; 2010 Oct 19; 11():521. PubMed ID: 20958996
    [Abstract] [Full Text] [Related]

  • 14.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 15. 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]

  • 16. 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 09; 19(5):e1800129. PubMed ID: 30650262
    [Abstract] [Full Text] [Related]

  • 17.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 18. Path matching and graph matching in biological networks.
    Yang Q, Sze SH.
    J Comput Biol; 2007 Mar 09; 14(1):56-67. PubMed ID: 17381346
    [Abstract] [Full Text] [Related]

  • 19. Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks.
    Liu X, Yang Z, Sang S, Zhou Z, Wang L, Zhang Y, Lin H, Wang J, Xu B.
    BMC Bioinformatics; 2018 Sep 21; 19(1):332. PubMed ID: 30241459
    [Abstract] [Full Text] [Related]

  • 20. HKC: an algorithm to predict protein complexes in protein-protein interaction networks.
    Wang X, Wang Z, Ye J.
    J Biomed Biotechnol; 2011 Sep 21; 2011():480294. PubMed ID: 22174556
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 8.