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

191 related items for PubMed ID: 30650262

  • 1. 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; 19(5):e1800129. PubMed ID: 30650262
    [Abstract] [Full Text] [Related]

  • 2. Identifying dynamic protein complexes based on gene expression profiles and PPI networks.
    Li M, Chen W, Wang J, Wu FX, Pan Y.
    Biomed Res Int; 2014 Mar; 2014():375262. PubMed ID: 24963481
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4. A core-attachment based method to detect protein complexes in PPI networks.
    Wu M, Li X, Kwoh CK, Ng SK.
    BMC Bioinformatics; 2009 Jun 02; 10():169. PubMed ID: 19486541
    [Abstract] [Full Text] [Related]

  • 5. 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 02; 111():103333. PubMed ID: 31376777
    [Abstract] [Full Text] [Related]

  • 6. Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks.
    Yu L, Gao L, Kong C.
    Proteomics; 2011 Oct 02; 11(19):3826-34. PubMed ID: 21761565
    [Abstract] [Full Text] [Related]

  • 7. Neighbor Affinity-Based Core-Attachment Method to Detect Protein Complexes in Dynamic PPI Networks.
    Lei X, Liang J.
    Molecules; 2017 Jul 24; 22(7):. PubMed ID: 28737728
    [Abstract] [Full Text] [Related]

  • 8. A Method for Predicting Protein Complexes from Dynamic Weighted Protein-Protein Interaction Networks.
    Liu L, Sun X, Song W, Du C.
    J Comput Biol; 2018 Jun 24; 25(6):586-605. PubMed ID: 29668304
    [Abstract] [Full Text] [Related]

  • 9. Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure.
    Peng W, Wang J, Zhao B, Wang L.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Jun 24; 12(1):179-92. PubMed ID: 26357088
    [Abstract] [Full Text] [Related]

  • 10. Identifying protein complex by integrating characteristic of core-attachment into dynamic PPI network.
    Shen X, Yi L, Jiang X, He T, Yang J, Xie W, Hu P, Hu X.
    PLoS One; 2017 Jun 24; 12(10):e0186134. PubMed ID: 29045465
    [Abstract] [Full Text] [Related]

  • 11. CPredictor3.0: detecting protein complexes from PPI networks with expression data and functional annotations.
    Xu Y, Zhou J, Zhou S, Guan J.
    BMC Syst Biol; 2017 Dec 21; 11(Suppl 7):135. PubMed ID: 29322927
    [Abstract] [Full Text] [Related]

  • 12. 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]

  • 13. Protein complexes identification based on go attributed network embedding.
    Xu B, Li K, Zheng W, Liu X, Zhang Y, Zhao Z, He Z.
    BMC Bioinformatics; 2018 Dec 20; 19(1):535. PubMed ID: 30572820
    [Abstract] [Full Text] [Related]

  • 14. 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 20; 13(2):301-12. PubMed ID: 23225755
    [Abstract] [Full Text] [Related]

  • 15. 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]

  • 16. DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding.
    Meng X, Xiang J, Zheng R, Wu FX, Li M.
    IEEE/ACM Trans Comput Biol Bioinform; 2022 Oct 04; 19(3):1592-1602. PubMed ID: 33417563
    [Abstract] [Full Text] [Related]

  • 17. Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining.
    Ma X, Zhou G, Shang J, Wang J, Peng J, Han J.
    J Comput Biol; 2017 Sep 04; 24(9):923-941. PubMed ID: 28570104
    [Abstract] [Full Text] [Related]

  • 18. Protein complexes detection based on node local properties and gene expression in PPI weighted networks.
    Yu Y, Kong D.
    BMC Bioinformatics; 2022 Jan 06; 23(1):24. PubMed ID: 34991441
    [Abstract] [Full Text] [Related]

  • 19. MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure.
    Srihari S, Ning K, Leong HW.
    BMC Bioinformatics; 2010 Oct 12; 11():504. PubMed ID: 20939868
    [Abstract] [Full Text] [Related]

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

    Page: [Next] [New Search]
    of 10.