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

283 related items for PubMed ID: 26231465

  • 1. Prediction of problematic complexes from PPI networks: sparse, embedded, and small complexes.
    Yong CH, Wong L.
    Biol Direct; 2015 Aug 01; 10():40. PubMed ID: 26231465
    [Abstract] [Full Text] [Related]

  • 2. Discovery of small protein complexes from PPI networks with size-specific supervised weighting.
    Yong CH, Maruyama O, Wong L.
    BMC Syst Biol; 2014 Aug 01; 8 Suppl 5(Suppl 5):S3. PubMed ID: 25559663
    [Abstract] [Full Text] [Related]

  • 3. Supervised maximum-likelihood weighting of composite protein networks for complex prediction.
    Yong CH, Liu G, Chua HN, Wong L.
    BMC Syst Biol; 2012 Aug 01; 6 Suppl 2(Suppl 2):S13. PubMed ID: 23281936
    [Abstract] [Full Text] [Related]

  • 4. From the static interactome to dynamic protein complexes: Three challenges.
    Yong CH, Wong L.
    J Bioinform Comput Biol; 2015 Apr 01; 13(2):1571001. PubMed ID: 25653145
    [Abstract] [Full Text] [Related]

  • 5. Identification of protein complexes by integrating multiple alignment of protein interaction networks.
    Ma CY, Chen YP, Berger B, Liao CS.
    Bioinformatics; 2017 Jun 01; 33(11):1681-1688. PubMed ID: 28130237
    [Abstract] [Full Text] [Related]

  • 6. Protein complex prediction with RNSC.
    King AD, Pržulj N, Jurisica I.
    Methods Mol Biol; 2012 Jun 01; 804():297-312. PubMed ID: 22144160
    [Abstract] [Full Text] [Related]

  • 7. Protein complex prediction in large ontology attributed protein-protein interaction networks.
    Zhang Y, Lin H, Yang Z, Wang J, Li Y, Xu B.
    IEEE/ACM Trans Comput Biol Bioinform; 2013 Jun 01; 10(3):729-41. PubMed ID: 24091405
    [Abstract] [Full Text] [Related]

  • 8. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks.
    Xu B, Guan J.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Jun 01; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 9. Predicting overlapping protein complexes from weighted protein interaction graphs by gradually expanding dense neighborhoods.
    Dimitrakopoulos C, Theofilatos K, Pegkas A, Likothanassis S, Mavroudi S.
    Artif Intell Med; 2016 Jul 01; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 10. A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.
    Ou-Yang L, Yan H, Zhang XF.
    BMC Bioinformatics; 2017 Dec 01; 18(Suppl 13):463. PubMed ID: 29219066
    [Abstract] [Full Text] [Related]

  • 11. Completing sparse and disconnected protein-protein network by deep learning.
    Huang L, Liao L, Wu CH.
    BMC Bioinformatics; 2018 Mar 22; 19(1):103. PubMed ID: 29566671
    [Abstract] [Full Text] [Related]

  • 12. Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks.
    Sahoo TR, Patra S, Vipsita S.
    Comput Biol Chem; 2023 Oct 22; 106():107935. PubMed ID: 37536230
    [Abstract] [Full Text] [Related]

  • 13. 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 22; 12(9):e0183460. PubMed ID: 28937982
    [Abstract] [Full Text] [Related]

  • 14. 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]

  • 15. 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]

  • 16. 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]

  • 17. Integrating experimental and literature protein-protein interaction data for protein complex prediction.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Genomics; 2015 Sep 21; 16 Suppl 2(Suppl 2):S4. PubMed ID: 25708571
    [Abstract] [Full Text] [Related]

  • 18. MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm.
    Cao B, Luo J, Liang C, Wang S, Song D.
    Comput Biol Chem; 2015 Oct 21; 58():173-81. PubMed ID: 26298638
    [Abstract] [Full Text] [Related]

  • 19. A methodology for detecting the orthology signal in a PPI network at a functional complex level.
    Jancura P, Mavridou E, Carrillo-de Santa Pau E, Marchiori E.
    BMC Bioinformatics; 2012 Jun 25; 13 Suppl 10(Suppl 10):S18. PubMed ID: 22759423
    [Abstract] [Full Text] [Related]

  • 20. Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes.
    Luo J, Qi Y.
    PLoS One; 2015 Jun 25; 10(6):e0131418. PubMed ID: 26125187
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 15.