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Journal Abstract Search

119 related items for PubMed ID: 33910494

  • 1. Identifying protein complexes from protein-protein interaction networks based on the gene expression profile and core-attachment approach.
    Noori S, Al-A'Araji N, Al-Shamery E.
    J Bioinform Comput Biol; 2021 Jun; 19(3):2150009. PubMed ID: 33910494
    [Abstract] [Full Text] [Related]

  • 2. 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; 19(5):e1800129. PubMed ID: 30650262
    [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. 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 24; 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. 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 25; 27(9):4569-4578. PubMed ID: 37399160
    [Abstract] [Full Text] [Related]

  • 7. 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 Sep 25; 19(3):1592-1602. PubMed ID: 33417563
    [Abstract] [Full Text] [Related]

  • 8. Discovering protein complexes in protein interaction networks via exploring the weak ties effect.
    Ma X, Gao L.
    BMC Syst Biol; 2012 Sep 25; 6 Suppl 1(Suppl 1):S6. PubMed ID: 23046740
    [Abstract] [Full Text] [Related]

  • 9. 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 25; 39(6):681-702. PubMed ID: 33040223
    [Abstract] [Full Text] [Related]

  • 10. 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]

  • 11. 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]

  • 12. Identifying protein complexes based on multiple topological structures in PPI networks.
    Chen B, Wu FX.
    IEEE Trans Nanobioscience; 2013 Sep 06; 12(3):165-72. PubMed ID: 23974659
    [Abstract] [Full Text] [Related]

  • 13. 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 06; 25(6):586-605. PubMed ID: 29668304
    [Abstract] [Full Text] [Related]

  • 14. Identification of protein complexes from multi-relationship protein interaction networks.
    Li X, Wang J, Zhao B, Wu FX, Pan Y.
    Hum Genomics; 2016 Jul 25; 10 Suppl 2(Suppl 2):17. PubMed ID: 27461193
    [Abstract] [Full Text] [Related]

  • 15. Discovery of protein complexes with core-attachment structures from Tandem Affinity Purification (TAP) data.
    Wu M, Li XL, Kwoh CK, Ng SK, Wong L.
    J Comput Biol; 2012 Sep 25; 19(9):1027-42. PubMed ID: 21777084
    [Abstract] [Full Text] [Related]

  • 16. 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]

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  • 18. Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks.
    Yu L, Gao L, Kong C.
    Proteomics; 2011 Oct 25; 11(19):3826-34. PubMed ID: 21761565
    [Abstract] [Full Text] [Related]

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  • 20. 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 Oct 25; 12(10):e0186134. PubMed ID: 29045465
    [Abstract] [Full Text] [Related]

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