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Journal Abstract Search

234 related items for PubMed ID: 31390979

  • 1. A seed-extended algorithm for detecting protein complexes based on density and modularity with topological structure and GO annotations.
    Wang R, Wang C, Sun L, Liu G.
    BMC Genomics; 2019 Aug 07; 20(1):637. PubMed ID: 31390979
    [Abstract] [Full Text] [Related]

  • 2. Predicting overlapping protein complexes based on core-attachment and a local modularity structure.
    Wang R, Liu G, Wang C, Su L, Sun L.
    BMC Bioinformatics; 2018 Aug 22; 19(1):305. PubMed ID: 30134824
    [Abstract] [Full Text] [Related]

  • 3. A Seed Expansion Graph Clustering Method for Protein Complexes Detection in Protein Interaction Networks.
    Wang J, Zheng W, Qian Y, Liang J.
    Molecules; 2017 Dec 08; 22(12):. PubMed ID: 29292776
    [Abstract] [Full Text] [Related]

  • 4. Identifying protein complexes based on density and modularity in protein-protein interaction network.
    Ren J, Wang J, Li M, Wang L.
    BMC Syst Biol; 2013 Dec 08; 7 Suppl 4(Suppl 4):S12. PubMed ID: 24565048
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. Detection of protein complexes from affinity purification/mass spectrometry data.
    Cai B, Wang H, Zheng H, Wang H.
    BMC Syst Biol; 2012 Dec 21; 6 Suppl 3(Suppl 3):S4. PubMed ID: 23282282
    [Abstract] [Full Text] [Related]

  • 7. 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 21; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 8. 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 21; 15(7):728-738. PubMed ID: 27662678
    [Abstract] [Full Text] [Related]

  • 9. Finding low-conductance sets with dense interactions (FLCD) for better protein complex prediction.
    Wang Y, Qian X.
    BMC Syst Biol; 2017 Mar 14; 11(Suppl 3):22. PubMed ID: 28361714
    [Abstract] [Full Text] [Related]

  • 10. 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 14; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 11. Super.Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks.
    Palukuri MV, Marcotte EM.
    PLoS One; 2021 Jul 14; 16(12):e0262056. PubMed ID: 34972161
    [Abstract] [Full Text] [Related]

  • 12. Identifying protein complexes based on an edge weight algorithm and core-attachment structure.
    Wang R, Liu G, Wang C.
    BMC Bioinformatics; 2019 Sep 14; 20(1):471. PubMed ID: 31521132
    [Abstract] [Full Text] [Related]

  • 13. Protein Complexes Detection Based on Semi-Supervised Network Embedding Model.
    Zhu J, Zheng Z, Yang M, Fung GPC, Huang C.
    IEEE/ACM Trans Comput Biol Bioinform; 2021 Sep 14; 18(2):797-803. PubMed ID: 31581089
    [Abstract] [Full Text] [Related]

  • 14. 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 Sep 14; 12(1):179-92. PubMed ID: 26357088
    [Abstract] [Full Text] [Related]

  • 15. Identifying protein complexes based on multiple topological structures in PPI networks.
    Chen B, Wu FX.
    IEEE Trans Nanobioscience; 2013 Sep 14; 12(3):165-72. PubMed ID: 23974659
    [Abstract] [Full Text] [Related]

  • 16. A New Method for Detecting Protein Complexes based on the Three Node Cliques.
    Zhang W, Zou X.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Sep 14; 12(4):879-86. PubMed ID: 26357329
    [Abstract] [Full Text] [Related]

  • 17. A Type-2 fuzzy data fusion approach for building reliable weighted protein interaction networks with application in protein complex detection.
    Mehranfar A, Ghadiri N, Kouhsar M, Golshani A.
    Comput Biol Med; 2017 Sep 01; 88():18-31. PubMed ID: 28672176
    [Abstract] [Full Text] [Related]

  • 18. Detection of functional modules from protein interaction networks with an enhanced random walk based algorithm.
    Cai B, Wang H, Zheng H, Wang H.
    Int J Comput Biol Drug Des; 2011 Sep 01; 4(3):290-306. PubMed ID: 21778561
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  • 19. 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]

  • 20. Maximizing cohesion and separation for detecting protein functional modules in protein-protein interaction networks.
    Ying KC, Lin SW.
    PLoS One; 2020 Dec 01; 15(10):e0240628. PubMed ID: 33048996
    [Abstract] [Full Text] [Related]

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