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Journal Abstract Search
300 related items for PubMed ID: 29949962
21. LocalAli: an evolutionary-based local alignment approach to identify functionally conserved modules in multiple networks. Hu J, Reinert K. Bioinformatics; 2015 Feb 01; 31(3):363-72. PubMed ID: 25282642 [Abstract] [Full Text] [Related]
22. 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 Feb 01; 12(1):179-92. PubMed ID: 26357088 [Abstract] [Full Text] [Related]
23. NETAL: a new graph-based method for global alignment of protein-protein interaction networks. Neyshabur B, Khadem A, Hashemifar S, Arab SS. Bioinformatics; 2013 Jul 01; 29(13):1654-62. PubMed ID: 23696650 [Abstract] [Full Text] [Related]
24. ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks. Wang Y, Jeong H, Yoon BJ, Qian X. BMC Genomics; 2020 Nov 18; 21(Suppl 10):615. PubMed ID: 33208103 [Abstract] [Full Text] [Related]
25. CUFID-query: accurate network querying through random walk based network flow estimation. Jeong H, Qian X, Yoon BJ. BMC Bioinformatics; 2017 Dec 28; 18(Suppl 14):500. PubMed ID: 29297279 [Abstract] [Full Text] [Related]
26. Reconstructing genome-wide protein-protein interaction networks using multiple strategies with homologous mapping. Lo YS, Huang SH, Luo YC, Lin CY, Yang JM. PLoS One; 2015 Dec 28; 10(1):e0116347. PubMed ID: 25602759 [Abstract] [Full Text] [Related]
27. 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]
28. Global Biological Network Alignment by Using Efficient Memetic Algorithm. Maoguo Gong, Zhenglin Peng, Lijia Ma, Jiaxiang Huang. IEEE/ACM Trans Comput Biol Bioinform; 2016 Nov 01; 13(6):1117-1129. PubMed ID: 28055895 [Abstract] [Full Text] [Related]
29. Optimizing a global alignment of protein interaction networks. Chindelevitch L, Ma CY, Liao CS, Berger B. Bioinformatics; 2013 Nov 01; 29(21):2765-73. PubMed ID: 24048352 [Abstract] [Full Text] [Related]
30. HubAlign: an accurate and efficient method for global alignment of protein-protein interaction networks. Hashemifar S, Xu J. Bioinformatics; 2014 Sep 01; 30(17):i438-44. PubMed ID: 25161231 [Abstract] [Full Text] [Related]
31. DualAligner: a dual alignment-based strategy to align protein interaction networks. Seah BS, Bhowmick SS, Dewey CF. Bioinformatics; 2014 Sep 15; 30(18):2619-26. PubMed ID: 24872427 [Abstract] [Full Text] [Related]
32. PROPER: global protein interaction network alignment through percolation matching. Kazemi E, Hassani H, Grossglauser M, Pezeshgi Modarres H. BMC Bioinformatics; 2016 Dec 12; 17(1):527. PubMed ID: 27955623 [Abstract] [Full Text] [Related]
33. Pairwise alignment of protein interaction networks. Koyutürk M, Kim Y, Topkara U, Subramaniam S, Szpankowski W, Grama A. J Comput Biol; 2006 Mar 12; 13(2):182-99. PubMed ID: 16597234 [Abstract] [Full Text] [Related]
34. A multiobjective memetic algorithm for PPI network alignment. Clark C, Kalita J. Bioinformatics; 2015 Jun 15; 31(12):1988-98. PubMed ID: 25667548 [Abstract] [Full Text] [Related]
35. C-GRAAL: common-neighbors-based global GRAph ALignment of biological networks. Memišević V, Pržulj N. Integr Biol (Camb); 2012 Jul 15; 4(7):734-43. PubMed ID: 22234340 [Abstract] [Full Text] [Related]
36. Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering. Theofilatos K, Pavlopoulou N, Papasavvas C, Likothanassis S, Dimitrakopoulos C, Georgopoulos E, Moschopoulos C, Mavroudi S. Artif Intell Med; 2015 Mar 15; 63(3):181-9. PubMed ID: 25765008 [Abstract] [Full Text] [Related]
37. Global Alignment of Protein-Protein Interaction Networks: A Survey. Elmsallati A, Clark C, Kalita J. IEEE/ACM Trans Comput Biol Bioinform; 2016 Mar 15; 13(4):689-705. PubMed ID: 26336140 [Abstract] [Full Text] [Related]
38. SANA NetGO: a combinatorial approach to using Gene Ontology (GO) terms to score network alignments. Hayes WB, Mamano N. Bioinformatics; 2018 Apr 15; 34(8):1345-1352. PubMed ID: 29228175 [Abstract] [Full Text] [Related]
39. Joint clustering of protein interaction networks through Markov random walk. Wang Y, Qian X. BMC Syst Biol; 2014 Apr 15; 8 Suppl 1(Suppl 1):S9. PubMed ID: 24565376 [Abstract] [Full Text] [Related]
40. IsoRankN: spectral methods for global alignment of multiple protein networks. Liao CS, Lu K, Baym M, Singh R, Berger B. Bioinformatics; 2009 Jun 15; 25(12):i253-8. PubMed ID: 19477996 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]