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Journal Abstract Search

100 related items for PubMed ID: 27771556

  • 1. Weighted edge based clustering to identify protein complexes in protein-protein interaction networks incorporating gene expression profile.
    Keretsu S, Sarmah R.
    Comput Biol Chem; 2016 Dec; 65():69-79. PubMed ID: 27771556
    [Abstract] [Full Text] [Related]

  • 2. 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; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 3. Detecting complexes from edge-weighted PPI networks via genes expression analysis.
    Zhang Z, Song J, Tang J, Xu X, Guo F.
    BMC Syst Biol; 2018 Apr 24; 12(Suppl 4):40. PubMed ID: 29745859
    [Abstract] [Full Text] [Related]

  • 4. 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 24; 19(5):e1800129. PubMed ID: 30650262
    [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 Mar 24; 12(9):e0183460. PubMed ID: 28937982
    [Abstract] [Full Text] [Related]

  • 6. 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]

  • 7. CAMWI: Detecting protein complexes using weighted clustering coefficient and weighted density.
    Lakizadeh A, Jalili S, Marashi SA.
    Comput Biol Chem; 2015 Oct 21; 58():231-40. PubMed ID: 26319550
    [Abstract] [Full Text] [Related]

  • 8. 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]

  • 9. PCD-GED: Protein complex detection considering PPI dynamics based on time series gene expression data.
    Lakizadeh A, Jalili S, Marashi SA.
    J Theor Biol; 2015 Aug 07; 378():31-8. PubMed ID: 25934349
    [Abstract] [Full Text] [Related]

  • 10. 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 07; 58():173-81. PubMed ID: 26298638
    [Abstract] [Full Text] [Related]

  • 11. PCE-FR: A Novel Method for Identifying Overlapping Protein Complexes in Weighted Protein-Protein Interaction Networks Using Pseudo-Clique Extension Based on Fuzzy Relation.
    Cao B, Luo J, Liang C, Wang S, Ding P.
    IEEE Trans Nanobioscience; 2016 Oct 07; 15(7):728-738. PubMed ID: 27662678
    [Abstract] [Full Text] [Related]

  • 12. Protein complex detection via weighted ensemble clustering based on Bayesian nonnegative matrix factorization.
    Ou-Yang L, Dai DQ, Zhang XF.
    PLoS One; 2013 Oct 07; 8(5):e62158. PubMed ID: 23658709
    [Abstract] [Full Text] [Related]

  • 13. 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 Oct 07; 12(1):179-92. PubMed ID: 26357088
    [Abstract] [Full Text] [Related]

  • 14. 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 Oct 07; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 15. Combining functional and topological properties to identify core modules in protein interaction networks.
    Lubovac Z, Gamalielsson J, Olsson B.
    Proteins; 2006 Sep 01; 64(4):948-59. PubMed ID: 16794996
    [Abstract] [Full Text] [Related]

  • 16. 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]

  • 17. A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks.
    Zhan Y, Liu J, Wu M, Tan CSH, Li X, Ou-Yang L.
    Comput Biol Med; 2023 Jun 09; 159():106936. PubMed ID: 37105110
    [Abstract] [Full Text] [Related]

  • 18. Detecting Protein Complexes from Signed Protein-Protein Interaction Networks.
    Ou-Yang L, Dai DQ, Zhang XF.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Jun 09; 12(6):1333-44. PubMed ID: 26671805
    [Abstract] [Full Text] [Related]

  • 19. Detection of protein complexes from multiple protein interaction networks using graph embedding.
    Liu X, Yang Z, Sang S, Lin H, Wang J, Xu B.
    Artif Intell Med; 2019 May 09; 96():107-115. PubMed ID: 31164203
    [Abstract] [Full Text] [Related]

  • 20. 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]

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