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Journal Abstract Search

237 related items for PubMed ID: 26809099

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  • 4. A Type-2 fuzzy data fusion approach for building reliable weighted protein interaction networks with application in protein complex detection.
    Mehranfar A, Ghadiri N, Kouhsar M, Golshani A.
    Comput Biol Med; 2017 Sep 01; 88():18-31. PubMed ID: 28672176
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  • 6. 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
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  • 7. 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
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  • 8. A Central Edge Selection Based Overlapping Community Detection Algorithm for the Detection of Overlapping Structures in Protein⁻Protein Interaction Networks.
    Zhang F, Ma A, Wang Z, Ma Q, Liu B, Huang L, Wang Y.
    Molecules; 2018 Oct 13; 23(10):. PubMed ID: 30322177
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  • 9. Mining Dense Overlapping Subgraphs in weighted protein-protein interaction networks.
    Lee AJ, Lin MC, Hsu CM.
    Biosystems; 2011 Mar 13; 103(3):392-9. PubMed ID: 21095218
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  • 10. 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
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  • 11. 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
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  • 12. The relative vertex clustering value--a new criterion for the fast discovery of functional modules in protein interaction networks.
    Ibrahim ZM, Ngom A.
    BMC Bioinformatics; 2015 Nov 16; 16 Suppl 4(Suppl 4):S3. PubMed ID: 25734691
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  • 13. 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
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  • 14. 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 16; 11(4):616-27. PubMed ID: 26356332
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  • 15. A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification.
    Yu L, Gao L, Li K, Zhao Y, Chiu DK.
    Comput Biol Chem; 2011 Oct 12; 35(5):298-307. PubMed ID: 22000801
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  • 16. 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
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  • 17. Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks.
    Sahoo TR, Patra S, Vipsita S.
    Comput Biol Chem; 2023 Oct 27; 106():107935. PubMed ID: 37536230
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  • 18. Identifying protein complexes based on the integration of PPI network and gene expression data.
    Chen W, Li M, Wu X, Wang J.
    Int J Bioinform Res Appl; 2015 Oct 27; 11(1):30-44. PubMed ID: 25667384
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  • 19. HKC: an algorithm to predict protein complexes in protein-protein interaction networks.
    Wang X, Wang Z, Ye J.
    J Biomed Biotechnol; 2011 Oct 27; 2011():480294. PubMed ID: 22174556
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  • 20. Identification of functional modules in a PPI network by clique percolation clustering.
    Zhang S, Ning X, Zhang XS.
    Comput Biol Chem; 2006 Dec 27; 30(6):445-51. PubMed ID: 17098476
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