BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

453 related articles for article (PubMed ID: 28049415)

  • 1. Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources.
    Taghipour S; Zarrineh P; Ganjtabesh M; Nowzari-Dalini A
    BMC Bioinformatics; 2017 Jan; 18(1):10. PubMed ID: 28049415
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of protein complexes and functional modules in E. coli PPI networks.
    Kong P; Huang G; Liu W
    BMC Microbiol; 2020 Aug; 20(1):243. PubMed ID: 32762711
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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; 71():62-9. PubMed ID: 27506132
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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; 13():109. PubMed ID: 22621308
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detecting Functional Modules Based on a Multiple-Grain Model in Large-Scale Protein-Protein Interaction Networks.
    Ji J; Lv J; Yang C; Zhang A
    IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(4):610-22. PubMed ID: 26394434
    [TBL] [Abstract][Full Text] [Related]  

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

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

  • 9. Reconstructing genome-wide protein-protein interaction networks using multiple strategies with homologous mapping.
    Lo YS; Huang SH; Luo YC; Lin CY; Yang JM
    PLoS One; 2015; 10(1):e0116347. PubMed ID: 25602759
    [TBL] [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; 18(Suppl 13):463. PubMed ID: 29219066
    [TBL] [Abstract][Full Text] [Related]  

  • 11. PROPER: global protein interaction network alignment through percolation matching.
    Kazemi E; Hassani H; Grossglauser M; Pezeshgi Modarres H
    BMC Bioinformatics; 2016 Dec; 17(1):527. PubMed ID: 27955623
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identifying protein complexes and functional modules--from static PPI networks to dynamic PPI networks.
    Chen B; Fan W; Liu J; Wu FX
    Brief Bioinform; 2014 Mar; 15(2):177-94. PubMed ID: 23780996
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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; 58():173-81. PubMed ID: 26298638
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network.
    Khunlertgit N; Yoon BJ
    BMC Bioinformatics; 2016 Oct; 17(Suppl 13):351. PubMed ID: 27766944
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Constructing a robust protein-protein interaction network by integrating multiple public databases.
    Martha VS; Liu Z; Guo L; Su Z; Ye Y; Fang H; Ding D; Tong W; Xu X
    BMC Bioinformatics; 2011 Oct; 12 Suppl 10(Suppl 10):S7. PubMed ID: 22165958
    [TBL] [Abstract][Full Text] [Related]  

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

  • 17. A hub-attachment based method to detect functional modules from confidence-scored protein interactions and expression profiles.
    Chin CH; Chen SH; Ho CW; Ko MT; Lin CY
    BMC Bioinformatics; 2010 Jan; 11 Suppl 1(Suppl 1):S25. PubMed ID: 20122197
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model.
    Jeong H; Qian X; Yoon BJ
    BMC Bioinformatics; 2016 Oct; 17(Suppl 13):395. PubMed ID: 27766938
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clustering algorithms for detecting functional modules in protein interaction networks.
    Gao L; Sun PG; Song J
    J Bioinform Comput Biol; 2009 Feb; 7(1):217-42. PubMed ID: 19226668
    [TBL] [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; 29(3):355-64. PubMed ID: 23235927
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.