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Journal Abstract Search
567 related items for PubMed ID: 28937982
1. Protein complex prediction via dense subgraphs and false positive analysis. Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J. PLoS One; 2017; 12(9):e0183460. PubMed ID: 28937982 [Abstract] [Full Text] [Related]
5. RedNemo: topology-based PPI network reconstruction via repeated diffusion with neighborhood modifications. Alkan F, Erten C. Bioinformatics; 2017 Feb 15; 33(4):537-544. PubMed ID: 27797764 [Abstract] [Full Text] [Related]
6. 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 15; 71():62-9. PubMed ID: 27506132 [Abstract] [Full Text] [Related]
7. Discovering functional interdependence relationship in PPI networks for protein complex identification. Lam WW, Chan KC. IEEE Trans Biomed Eng; 2012 Apr 15; 59(4):899-908. PubMed ID: 21095855 [Abstract] [Full Text] [Related]
8. 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]
9. Detecting Protein Complexes Based on Uncertain Graph Model. Zhao B, Wang J, Li M, Wu FX, Pan Y. IEEE/ACM Trans Comput Biol Bioinform; 2014 Sep 21; 11(3):486-97. PubMed ID: 26356017 [Abstract] [Full Text] [Related]
10. Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure. Peng W, Wang J, Zhao B, Wang L. IEEE/ACM Trans Comput Biol Bioinform; 2015 Sep 21; 12(1):179-92. PubMed ID: 26357088 [Abstract] [Full Text] [Related]
11. 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 Sep 21; 11(4):616-27. PubMed ID: 26356332 [Abstract] [Full Text] [Related]
12. Mining Dense Overlapping Subgraphs in weighted protein-protein interaction networks. Lee AJ, Lin MC, Hsu CM. Biosystems; 2011 Mar 21; 103(3):392-9. PubMed ID: 21095218 [Abstract] [Full Text] [Related]
13. 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 [Abstract] [Full Text] [Related]
14. Markov clustering versus affinity propagation for the partitioning of protein interaction graphs. Vlasblom J, Wodak SJ. BMC Bioinformatics; 2009 Mar 30; 10():99. PubMed ID: 19331680 [Abstract] [Full Text] [Related]
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 [Abstract] [Full Text] [Related]
16. Complex Prediction in Large PPI Networks Using Expansion and Stripe of Core Cliques. Sahoo TR, Vipsita S, Patra S. Interdiscip Sci; 2023 Sep 12; 15(3):331-348. PubMed ID: 36306022 [Abstract] [Full Text] [Related]
17. Evaluation of clustering algorithms for protein-protein interaction networks. Brohée S, van Helden J. BMC Bioinformatics; 2006 Nov 06; 7():488. PubMed ID: 17087821 [Abstract] [Full Text] [Related]
18. A New Method for Detecting Protein Complexes based on the Three Node Cliques. Zhang W, Zou X. IEEE/ACM Trans Comput Biol Bioinform; 2015 Nov 06; 12(4):879-86. PubMed ID: 26357329 [Abstract] [Full Text] [Related]
19. 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]
20. Discovering protein complexes in protein interaction networks via exploring the weak ties effect. Ma X, Gao L. BMC Syst Biol; 2012 Dec 01; 6 Suppl 1(Suppl 1):S6. PubMed ID: 23046740 [Abstract] [Full Text] [Related] Page: [Next] [New Search]