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Journal Abstract Search
318 related items for PubMed ID: 28737728
41. Functional centrality: detecting lethality of proteins in protein interaction networks. Tew KL, Li XL, Tan SH. Genome Inform; 2007; 19():166-77. PubMed ID: 18546514 [Abstract] [Full Text] [Related]
42. 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 [Abstract] [Full Text] [Related]
43. Identifying the overlapping complexes in protein interaction networks. Li M, Wang J, Chen J, Cai Z, Chen G. Int J Data Min Bioinform; 2010 Feb; 4(1):91-108. PubMed ID: 20376924 [Abstract] [Full Text] [Related]
44. 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]
45. Identifying protein complexes from protein-protein interaction networks based on the gene expression profile and core-attachment approach. Noori S, Al-A'Araji N, Al-Shamery E. J Bioinform Comput Biol; 2021 Jun 16; 19(3):2150009. PubMed ID: 33910494 [Abstract] [Full Text] [Related]
46. 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]
47. Complex discovery from weighted PPI networks. Liu G, Wong L, Chua HN. Bioinformatics; 2009 Aug 01; 25(15):1891-7. PubMed ID: 19435747 [Abstract] [Full Text] [Related]
48. 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]
49. HKC: an algorithm to predict protein complexes in protein-protein interaction networks. Wang X, Wang Z, Ye J. J Biomed Biotechnol; 2011 Sep 21; 2011():480294. PubMed ID: 22174556 [Abstract] [Full Text] [Related]
50. 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]
51. An edge-based protein complex identification algorithm with gene co-expression data (PCIA-GeCo). Zhao J, Hu X, He T, Li P, Zhang M, Shen X. IEEE Trans Nanobioscience; 2014 Jun 21; 13(2):80-8. PubMed ID: 24803023 [Abstract] [Full Text] [Related]
52. From communities to protein complexes: A local community detection algorithm on PPI networks. Dilmaghani S, Brust MR, Ribeiro CHC, Kieffer E, Danoy G, Bouvry P. PLoS One; 2022 Jun 21; 17(1):e0260484. PubMed ID: 35085263 [Abstract] [Full Text] [Related]
53. 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 21; 106():107935. PubMed ID: 37536230 [Abstract] [Full Text] [Related]
54. Identifying protein complexes by reducing noise in interaction networks. Liao B, Fu X, Cai L, Chen H. Protein Pept Lett; 2014 Jul 21; 21(7):688-95. PubMed ID: 24654850 [Abstract] [Full Text] [Related]
55. Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data. Li M, Wu X, Wang J, Pan Y. BMC Bioinformatics; 2012 May 23; 13():109. PubMed ID: 22621308 [Abstract] [Full Text] [Related]
56. 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 23; 71():62-9. PubMed ID: 27506132 [Abstract] [Full Text] [Related]
57. ConnectedAlign: a PPI network alignment method for identifying conserved protein complexes across multiple species. Gao J, Song B, Hu X, Yan F, Wang J. BMC Bioinformatics; 2018 Aug 13; 19(Suppl 9):286. PubMed ID: 30367584 [Abstract] [Full Text] [Related]
58. A Seed Expansion Graph Clustering Method for Protein Complexes Detection in Protein Interaction Networks. Wang J, Zheng W, Qian Y, Liang J. Molecules; 2017 Dec 08; 22(12):. PubMed ID: 29292776 [Abstract] [Full Text] [Related]
59. 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]
60. Evolutionary Graph Clustering for Protein Complex Identification. He T, Chan KCC. IEEE/ACM Trans Comput Biol Bioinform; 2018 Oct 12; 15(3):892-904. PubMed ID: 28029628 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]