These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

196 related items for PubMed ID: 33152665

  • 1. Protein complex prediction in interaction network based on network motif.
    Patra S, Mohapatra A.
    Comput Biol Chem; 2020 Dec; 89():107399. PubMed ID: 33152665
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. 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]

  • 4. Survey: Enhancing protein complex prediction in PPI networks with GO similarity weighting.
    Price T, Peña FI, Cho YR.
    Interdiscip Sci; 2013 Sep 01; 5(3):196-210. PubMed ID: 24307411
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks.
    Liu X, Yang Z, Sang S, Zhou Z, Wang L, Zhang Y, Lin H, Wang J, Xu B.
    BMC Bioinformatics; 2018 Sep 21; 19(1):332. PubMed ID: 30241459
    [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 21; 19(3):1592-1602. PubMed ID: 33417563
    [Abstract] [Full Text] [Related]

  • 8. Identifying protein complexes in protein-protein interaction networks by using clique seeds and graph entropy.
    Chen B, Shi J, Zhang S, Wu FX.
    Proteomics; 2013 Jan 21; 13(2):269-77. PubMed ID: 23112006
    [Abstract] [Full Text] [Related]

  • 9. Detection of protein complexes using a protein ranking algorithm.
    Zaki N, Berengueres J, Efimov D.
    Proteins; 2012 Oct 21; 80(10):2459-68. PubMed ID: 22685080
    [Abstract] [Full Text] [Related]

  • 10. Prediction of problematic complexes from PPI networks: sparse, embedded, and small complexes.
    Yong CH, Wong L.
    Biol Direct; 2015 Aug 01; 10():40. PubMed ID: 26231465
    [Abstract] [Full Text] [Related]

  • 11. Integrating network topology, gene expression data and GO annotation information for protein complex prediction.
    Zhang W, Xu J, Li Y, Zou X.
    J Bioinform Comput Biol; 2019 Feb 01; 17(1):1950001. PubMed ID: 30803297
    [Abstract] [Full Text] [Related]

  • 12. Improved method for protein complex detection using bottleneck proteins.
    Ahn J, Lee DH, Yoon Y, Yeu Y, Park S.
    BMC Med Inform Decis Mak; 2013 Feb 01; 13 Suppl 1(Suppl 1):S5. PubMed ID: 23566214
    [Abstract] [Full Text] [Related]

  • 13. 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 Feb 01; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 14. Improving protein function prediction using domain and protein complexes in PPI networks.
    Peng W, Wang J, Cai J, Chen L, Li M, Wu FX.
    BMC Syst Biol; 2014 Mar 24; 8():35. PubMed ID: 24655481
    [Abstract] [Full Text] [Related]

  • 15. 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 24; 71():62-9. PubMed ID: 27506132
    [Abstract] [Full Text] [Related]

  • 16. An iteration method for identifying yeast essential proteins from heterogeneous network.
    Zhao B, Zhao Y, Zhang X, Zhang Z, Zhang F, Wang L.
    BMC Bioinformatics; 2019 Jun 24; 20(1):355. PubMed ID: 31234779
    [Abstract] [Full Text] [Related]

  • 17. Protein complex prediction with RNSC.
    King AD, Pržulj N, Jurisica I.
    Methods Mol Biol; 2012 Jun 24; 804():297-312. PubMed ID: 22144160
    [Abstract] [Full Text] [Related]

  • 18. Supervised maximum-likelihood weighting of composite protein networks for complex prediction.
    Yong CH, Liu G, Chua HN, Wong L.
    BMC Syst Biol; 2012 Jun 24; 6 Suppl 2(Suppl 2):S13. PubMed ID: 23281936
    [Abstract] [Full Text] [Related]

  • 19. 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 Jun 24; 12(10):e0186134. PubMed ID: 29045465
    [Abstract] [Full Text] [Related]

  • 20. 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]

    Page: [Next] [New Search]
    of 10.