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PUBMED FOR HANDHELDS

Journal Abstract Search


131 related items for PubMed ID: 26868667

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  • 4. Predicting protein complexes from PPI data: a core-attachment approach.
    Leung HC, Xiang Q, Yiu SM, Chin FY.
    J Comput Biol; 2009 Feb; 16(2):133-44. PubMed ID: 19193141
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  • 5. Predicting protein complexes using a supervised learning method combined with local structural information.
    Dong Y, Sun Y, Qin C.
    PLoS One; 2018 Feb; 13(3):e0194124. PubMed ID: 29554120
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  • 6. 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
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  • 7. 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
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  • 8. 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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  • 9. A New Method for Detecting Protein Complexes based on the Three Node Cliques.
    Zhang W, Zou X.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Oct 12; 12(4):879-86. PubMed ID: 26357329
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  • 10. k-Partite cliques of protein interactions: A novel subgraph topology for functional coherence analysis on PPI networks.
    Liu Q, Chen YP, Li J.
    J Theor Biol; 2014 Jan 07; 340():146-54. PubMed ID: 24056214
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  • 11. Utilizing both topological and attribute information for protein complex identification in PPI networks.
    Hu AL, Chan KC.
    IEEE/ACM Trans Comput Biol Bioinform; 2013 Jan 07; 10(3):780-92. PubMed ID: 24091410
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  • 12. A least square method based model for identifying protein complexes in protein-protein interaction network.
    Dai Q, Guo M, Guo Y, Liu X, Liu Y, Teng Z.
    Biomed Res Int; 2014 Jan 07; 2014():720960. PubMed ID: 25405206
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  • 13. Discovering essential proteins based on PPI network and protein complex.
    Ren J, Wang J, Li M, Wu F.
    Int J Data Min Bioinform; 2015 Jan 07; 12(1):24-43. PubMed ID: 26489140
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  • 14. MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm.
    Cao B, Luo J, Liang C, Wang S, Song D.
    Comput Biol Chem; 2015 Oct 07; 58():173-81. PubMed ID: 26298638
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  • 15. A core-attachment based method to detect protein complexes in PPI networks.
    Wu M, Li X, Kwoh CK, Ng SK.
    BMC Bioinformatics; 2009 Jun 02; 10():169. PubMed ID: 19486541
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  • 16. Protein complex detection with semi-supervised learning in protein interaction networks.
    Shi L, Lei X, Zhang A.
    Proteome Sci; 2011 Oct 14; 9 Suppl 1(Suppl 1):S5. PubMed ID: 22165896
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  • 17. 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 Oct 14; 16 Suppl 12(Suppl 12):S3. PubMed ID: 26329886
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  • 18. PC2P: parameter-free network-based prediction of protein complexes.
    Omranian S, Angeleska A, Nikoloski Z.
    Bioinformatics; 2021 Apr 09; 37(1):73-81. PubMed ID: 33416831
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  • 19. Discovering protein complexes in dense reliable neighborhoods of protein interaction networks.
    Li XL, Foo CS, Ng SK.
    Comput Syst Bioinformatics Conf; 2007 Apr 09; 6():157-68. PubMed ID: 17951821
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  • 20. Super.Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks.
    Palukuri MV, Marcotte EM.
    PLoS One; 2021 Apr 09; 16(12):e0262056. PubMed ID: 34972161
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