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Journal Abstract Search
433 related items for PubMed ID: 26125187
1. Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes. Luo J, Qi Y. PLoS One; 2015; 10(6):e0131418. PubMed ID: 26125187 [Abstract] [Full Text] [Related]
2. Prediction of Essential Proteins Based on Local Interaction Density. Qi Y, Luo J. IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(6):1170-1182. PubMed ID: 26701891 [Abstract] [Full Text] [Related]
3. A new method for the discovery of essential proteins. Zhang X, Xu J, Xiao WX. PLoS One; 2013; 8(3):e58763. PubMed ID: 23555595 [Abstract] [Full Text] [Related]
4. A New Method for Identifying Essential Proteins Based on Network Topology Properties and Protein Complexes. Qin C, Sun Y, Dong Y. PLoS One; 2016; 11(8):e0161042. PubMed ID: 27529423 [Abstract] [Full Text] [Related]
5. A Topology Potential-Based Method for Identifying Essential Proteins from PPI Networks. Li M, Lu Y, Wang J, Wu FX, Pan Y. IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(2):372-83. PubMed ID: 26357224 [Abstract] [Full Text] [Related]
6. A new method for predicting essential proteins based on participation degree in protein complex and subgraph density. Lei X, Yang X. PLoS One; 2018; 13(6):e0198998. PubMed ID: 29894517 [Abstract] [Full Text] [Related]
7. Essential protein identification based on essential protein-protein interaction prediction by Integrated Edge Weights. Jiang Y, Wang Y, Pang W, Chen L, Sun H, Liang Y, Blanzieri E. Methods; 2015 Jul 15; 83():51-62. PubMed ID: 25892709 [Abstract] [Full Text] [Related]
8. A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data. Li M, Zhang H, Wang JX, Pan Y. BMC Syst Biol; 2012 Mar 10; 6():15. PubMed ID: 22405054 [Abstract] [Full Text] [Related]
9. United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins. Li G, Li M, Wang J, Li Y, Pan Y. IEEE/ACM Trans Comput Biol Bioinform; 2020 Mar 10; 17(4):1451-1458. PubMed ID: 30596582 [Abstract] [Full Text] [Related]
10. Effective identification of essential proteins based on priori knowledge, network topology and gene expressions. Li M, Zheng R, Zhang H, Wang J, Pan Y. Methods; 2014 Jun 01; 67(3):325-33. PubMed ID: 24565748 [Abstract] [Full Text] [Related]
11. Identification of essential proteins from weighted protein-protein interaction networks. Li M, Wang JX, Wang H, Pan Y. J Bioinform Comput Biol; 2013 Jun 01; 11(3):1341002. PubMed ID: 23796179 [Abstract] [Full Text] [Related]
12. Predicting Essential Proteins Based on Weighted Degree Centrality. Tang X, Wang J, Zhong J, Pan Y. IEEE/ACM Trans Comput Biol Bioinform; 2014 Jun 01; 11(2):407-18. PubMed ID: 26355787 [Abstract] [Full Text] [Related]
13. United Complex Centrality for Identification of Essential Proteins from PPI Networks. Li M, Lu Y, Niu Z, Wu FX. IEEE/ACM Trans Comput Biol Bioinform; 2017 Jun 01; 14(2):370-380. PubMed ID: 28368815 [Abstract] [Full Text] [Related]
14. Prediction of essential proteins based on overlapping essential modules. Zhao B, Wang J, Li M, Wu FX, Pan Y. IEEE Trans Nanobioscience; 2014 Dec 01; 13(4):415-24. PubMed ID: 25122840 [Abstract] [Full Text] [Related]
15. Identifying essential proteins based on sub-network partition and prioritization by integrating subcellular localization information. Li M, Li W, Wu FX, Pan Y, Wang J. J Theor Biol; 2018 Jun 14; 447():65-73. PubMed ID: 29571709 [Abstract] [Full Text] [Related]
16. 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]
17. Identification of essential proteins based on edge clustering coefficient. Wang J, Li M, Wang H, Pan Y. IEEE/ACM Trans Comput Biol Bioinform; 2012 Dec 01; 9(4):1070-80. PubMed ID: 22084147 [Abstract] [Full Text] [Related]
18. 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 01; 11(4):616-27. PubMed ID: 26356332 [Abstract] [Full Text] [Related]
19. 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 [Abstract] [Full Text] [Related]
20. A local average connectivity-based method for identifying essential proteins from the network level. Li M, Wang J, Chen X, Wang H, Pan Y. Comput Biol Chem; 2011 Jun 27; 35(3):143-50. PubMed ID: 21704260 [Abstract] [Full Text] [Related] Page: [Next] [New Search]