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Journal Abstract Search

264 related items for PubMed ID: 31521132

  • 1. 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]

  • 2. Protein Complexes Prediction Method Based on Core-Attachment Structure and Functional Annotations.
    Li B, Liao B.
    Int J Mol Sci; 2017 Sep 06; 18(9):. PubMed ID: 28878201
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4. 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 Jul 24; 12(1):179-92. PubMed ID: 26357088
    [Abstract] [Full Text] [Related]

  • 5. Identification of Protein Complexes Based on Core-Attachment Structure and Combination of Centrality Measures and Biological Properties in PPI Weighted Networks.
    Elahi A, Babamir SM.
    Protein J; 2020 Dec 24; 39(6):681-702. PubMed ID: 33040223
    [Abstract] [Full Text] [Related]

  • 6. 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]

  • 7. Identifying protein complex by integrating characteristic of core-attachment into dynamic PPI network.
    Shen X, Yi L, Jiang X, He T, Yang J, Xie W, Hu P, Hu X.
    PLoS One; 2017 Aug 22; 12(10):e0186134. PubMed ID: 29045465
    [Abstract] [Full Text] [Related]

  • 8. 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]

  • 9. DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding.
    Meng X, Xiang J, Zheng R, Wu FX, Li M.
    IEEE/ACM Trans Comput Biol Bioinform; 2022 Dec 01; 19(3):1592-1602. PubMed ID: 33417563
    [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 01; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 11. 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]

  • 12. Efficient and accurate Greedy Search Methods for mining functional modules in protein interaction networks.
    He J, Li C, Ye B, Zhong W.
    BMC Bioinformatics; 2012 Jun 25; 13 Suppl 10(Suppl 10):S19. PubMed ID: 22759424
    [Abstract] [Full Text] [Related]

  • 13. 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]

  • 14. 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 12; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 15. Detecting protein complexes with multiple properties by an adaptive harmony search algorithm.
    Wang R, Wang C, Ma H.
    BMC Bioinformatics; 2022 Oct 07; 23(1):414. PubMed ID: 36207692
    [Abstract] [Full Text] [Related]

  • 16. Protein complexes detection based on node local properties and gene expression in PPI weighted networks.
    Yu Y, Kong D.
    BMC Bioinformatics; 2022 Jan 06; 23(1):24. PubMed ID: 34991441
    [Abstract] [Full Text] [Related]

  • 17. CACO: A Core-Attachment Method With Cross-Species Functional Ortholog Information to Detect Human Protein Complexes.
    Wang W, Meng X, Xiang J, Shuai Y, Bedru HD, Li M.
    IEEE J Biomed Health Inform; 2023 Sep 06; 27(9):4569-4578. PubMed ID: 37399160
    [Abstract] [Full Text] [Related]

  • 18. Dopcc: Detecting overlapping protein complexes via multi-metrics and co-core attachment method.
    Wang W, Meng X, Xiang J, Bedru HD, Li M.
    IEEE/ACM Trans Comput Biol Bioinform; 2024 Jul 17; PP():. PubMed ID: 39018215
    [Abstract] [Full Text] [Related]

  • 19. A density-based clustering approach for identifying overlapping protein complexes with functional preferences.
    Hu L, Chan KC.
    BMC Bioinformatics; 2015 May 27; 16():174. PubMed ID: 26013799
    [Abstract] [Full Text] [Related]

  • 20. Impact of low-confidence interactions on computational identification of protein complexes.
    Paul M, Anand A.
    J Bioinform Comput Biol; 2020 Aug 27; 18(4):2050025. PubMed ID: 32757809
    [Abstract] [Full Text] [Related]

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