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Journal Abstract Search

238 related items for PubMed ID: 29322927

  • 1. 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]

  • 2. 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 Dec 21; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 3. 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 21; 19(5):e1800129. PubMed ID: 30650262
    [Abstract] [Full Text] [Related]

  • 4. A method for identifying protein complexes with the features of joint co-localization and joint co-expression in static PPI networks.
    Zhang J, Zhong C, Huang Y, Lin HX, Wang M.
    Comput Biol Med; 2019 Aug 21; 111():103333. PubMed ID: 31376777
    [Abstract] [Full Text] [Related]

  • 5. A method for predicting protein complex in dynamic PPI networks.
    Zhang Y, Lin H, Yang Z, Wang J, Liu Y, Sang S.
    BMC Bioinformatics; 2016 Jul 25; 17 Suppl 7(Suppl 7):229. PubMed ID: 27454775
    [Abstract] [Full Text] [Related]

  • 6. Detecting Essential Proteins Based on Network Topology, Gene Expression Data, and Gene Ontology Information.
    Zhang W, Xu J, Li Y, Zou X.
    IEEE/ACM Trans Comput Biol Bioinform; 2018 Jul 25; 15(1):109-116. PubMed ID: 28650821
    [Abstract] [Full Text] [Related]

  • 7. 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 Jul 25; 18(2):797-803. PubMed ID: 31581089
    [Abstract] [Full Text] [Related]

  • 8. 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 25; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 9. Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining.
    Ma X, Zhou G, Shang J, Wang J, Peng J, Han J.
    J Comput Biol; 2017 Sep 25; 24(9):923-941. PubMed ID: 28570104
    [Abstract] [Full Text] [Related]

  • 10. 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]

  • 11. 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 Aug 07; 10(3):729-41. PubMed ID: 24091405
    [Abstract] [Full Text] [Related]

  • 12. Protein complex prediction via dense subgraphs and false positive analysis.
    Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J.
    PLoS One; 2017 Aug 07; 12(9):e0183460. PubMed ID: 28937982
    [Abstract] [Full Text] [Related]

  • 13. An effective approach to detecting both small and large complexes from protein-protein interaction networks.
    Xu B, Wang Y, Wang Z, Zhou J, Zhou S, Guan J.
    BMC Bioinformatics; 2017 Oct 16; 18(Suppl 12):419. PubMed ID: 29072136
    [Abstract] [Full Text] [Related]

  • 14. 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 16; 65():69-79. PubMed ID: 27771556
    [Abstract] [Full Text] [Related]

  • 15. Accurately Detecting Protein Complexes by Graph Embedding and Combining Functions with Interactions.
    Yao H, Shi Y, Guan J, Zhou S.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 Dec 16; 17(3):777-787. PubMed ID: 30736004
    [Abstract] [Full Text] [Related]

  • 16. A Method for Predicting Protein Complexes from Dynamic Weighted Protein-Protein Interaction Networks.
    Liu L, Sun X, Song W, Du C.
    J Comput Biol; 2018 Jun 16; 25(6):586-605. PubMed ID: 29668304
    [Abstract] [Full Text] [Related]

  • 17. PCDq: human protein complex database with quality index which summarizes different levels of evidences of protein complexes predicted from h-invitational protein-protein interactions integrative dataset.
    Kikugawa S, Nishikata K, Murakami K, Sato Y, Suzuki M, Altaf-Ul-Amin M, Kanaya S, Imanishi T.
    BMC Syst Biol; 2012 Jun 16; 6 Suppl 2(Suppl 2):S7. PubMed ID: 23282181
    [Abstract] [Full Text] [Related]

  • 18. Identification of hierarchical and overlapping functional modules in PPI networks.
    Wang J, Ren J, Li M, Wu FX.
    IEEE Trans Nanobioscience; 2012 Dec 16; 11(4):386-93. PubMed ID: 22955967
    [Abstract] [Full Text] [Related]

  • 19. Discovering functional interdependence relationship in PPI networks for protein complex identification.
    Lam WW, Chan KC.
    IEEE Trans Biomed Eng; 2012 Apr 16; 59(4):899-908. PubMed ID: 21095855
    [Abstract] [Full Text] [Related]

  • 20. Detecting protein complexes in a PPI network: a gene ontology based multi-objective evolutionary approach.
    Mukhopadhyay A, Ray S, De M.
    Mol Biosyst; 2012 Nov 16; 8(11):3036-48. PubMed ID: 22990765
    [Abstract] [Full Text] [Related]

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