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PUBMED FOR HANDHELDS

Journal Abstract Search


164 related items for PubMed ID: 26329886

  • 1. Protein complex detection in PPI networks based on data integration and supervised learning method.
    Yu F, Yang Z, Hu X, Sun Y, Lin H, Wang J.
    BMC Bioinformatics; 2015; 16 Suppl 12(Suppl 12):S3. PubMed ID: 26329886
    [Abstract] [Full Text] [Related]

  • 2. Integrating PPI datasets with the PPI data from biomedical literature for protein complex detection.
    Yang Z, Yu F, Lin H, Wang J.
    BMC Med Genomics; 2014; 7 Suppl 2(Suppl 2):S3. PubMed ID: 25350598
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4. Construction of dynamic probabilistic protein interaction networks for protein complex identification.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Bioinformatics; 2016 Apr 27; 17(1):186. PubMed ID: 27117946
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. Integrating experimental and literature protein-protein interaction data for protein complex prediction.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Genomics; 2015 Sep 21; 16 Suppl 2(Suppl 2):S4. PubMed ID: 25708571
    [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 Sep 21; 12(10):e0186134. PubMed ID: 29045465
    [Abstract] [Full Text] [Related]

  • 8. 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]

  • 9. 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]

  • 10. Topological and functional comparison of community detection algorithms in biological networks.
    Rahiminejad S, Maurya MR, Subramaniam S.
    BMC Bioinformatics; 2019 Apr 27; 20(1):212. PubMed ID: 31029085
    [Abstract] [Full Text] [Related]

  • 11. 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]

  • 12. 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 Oct 16; 10(3):729-41. PubMed ID: 24091405
    [Abstract] [Full Text] [Related]

  • 13. Identifying essential proteins from active PPI networks constructed with dynamic gene expression.
    Xiao Q, Wang J, Peng X, Wu FX, Pan Y.
    BMC Genomics; 2015 Oct 16; 16 Suppl 3(Suppl 3):S1. PubMed ID: 25707432
    [Abstract] [Full Text] [Related]

  • 14. 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]

  • 15. 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 Nov 16; 19(3):1592-1602. PubMed ID: 33417563
    [Abstract] [Full Text] [Related]

  • 16. Distance-wise pathway discovery from protein-protein interaction networks weighted by semantic similarity.
    Jaromerska S, Praus P, Cho YR.
    J Bioinform Comput Biol; 2014 Feb 16; 12(1):1450004. PubMed ID: 24467762
    [Abstract] [Full Text] [Related]

  • 17. Supervised maximum-likelihood weighting of composite protein networks for complex prediction.
    Yong CH, Liu G, Chua HN, Wong L.
    BMC Syst Biol; 2012 Feb 16; 6 Suppl 2(Suppl 2):S13. PubMed ID: 23281936
    [Abstract] [Full Text] [Related]

  • 18. A new two-stage method for revealing missing parts of edges in protein-protein interaction networks.
    Zhang W, Xu J, Li Y, Zou X.
    PLoS One; 2017 Feb 16; 12(5):e0177029. PubMed ID: 28493910
    [Abstract] [Full Text] [Related]

  • 19. 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 16; 17(1):1950001. PubMed ID: 30803297
    [Abstract] [Full Text] [Related]

  • 20. 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]


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