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Journal Abstract Search

160 related items for PubMed ID: 23281936

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

  • 2. 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]

  • 3. 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]

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

  • 5. 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]

  • 6. Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering.
    Theofilatos K, Pavlopoulou N, Papasavvas C, Likothanassis S, Dimitrakopoulos C, Georgopoulos E, Moschopoulos C, Mavroudi S.
    Artif Intell Med; 2015 Mar 01; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 7. 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]

  • 8. 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 12; 106():107935. PubMed ID: 37536230
    [Abstract] [Full Text] [Related]

  • 9. 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]

  • 10. Molecular complex detection in protein interaction networks through reinforcement learning.
    Palukuri MV, Patil RS, Marcotte EM.
    BMC Bioinformatics; 2023 Aug 02; 24(1):306. PubMed ID: 37532987
    [Abstract] [Full Text] [Related]

  • 11. 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 02; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 12. Identifying conserved protein complexes between species by constructing interolog networks.
    Nguyen PV, Srihari S, Leong HW.
    BMC Bioinformatics; 2013 Jul 02; 14 Suppl 16(Suppl 16):S8. PubMed ID: 24564762
    [Abstract] [Full Text] [Related]

  • 13. Resolving the structure of interactomes with hierarchical agglomerative clustering.
    Park Y, Bader JS.
    BMC Bioinformatics; 2011 Feb 15; 12 Suppl 1(Suppl 1):S44. PubMed ID: 21342576
    [Abstract] [Full Text] [Related]

  • 14. 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]

  • 15. 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 May 23; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 16. 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 May 23; 10(3):729-41. PubMed ID: 24091405
    [Abstract] [Full Text] [Related]

  • 17. SNFM: A semi-supervised NMF algorithm for detecting biological functional modules.
    Man YT, Liu GM, Yang K, Zhou XZ.
    Math Biosci Eng; 2019 Mar 07; 16(4):1933-1948. PubMed ID: 31137193
    [Abstract] [Full Text] [Related]

  • 18. Integrating network topology, gene expression data and GO annotation information for protein complex prediction.
    Zhang W, Xu J, Li Y, Zou X.
    J Bioinform Comput Biol; 2019 Feb 07; 17(1):1950001. PubMed ID: 30803297
    [Abstract] [Full Text] [Related]

  • 19. Protein complex prediction in interaction network based on network motif.
    Patra S, Mohapatra A.
    Comput Biol Chem; 2020 Dec 07; 89():107399. PubMed ID: 33152665
    [Abstract] [Full Text] [Related]

  • 20. A novel link prediction algorithm for reconstructing protein-protein interaction networks by topological similarity.
    Lei C, Ruan J.
    Bioinformatics; 2013 Feb 01; 29(3):355-64. PubMed ID: 23235927
    [Abstract] [Full Text] [Related]

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