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353 related items for PubMed ID: 29571709
21. A seed expansion-based method to identify essential proteins by integrating protein-protein interaction sub-networks and multiple biological characteristics. Zhao H, Liu G, Cao X. BMC Bioinformatics; 2023 Nov 30; 24(1):452. PubMed ID: 38036960 [Abstract] [Full Text] [Related]
22. A new method for predicting essential proteins based on participation degree in protein complex and subgraph density. Lei X, Yang X. PLoS One; 2018 Nov 30; 13(6):e0198998. PubMed ID: 29894517 [Abstract] [Full Text] [Related]
23. A protein network refinement method based on module discovery and biological information. Pan L, Wang H, Yang B, Li W. BMC Bioinformatics; 2024 Apr 20; 25(1):157. PubMed ID: 38643108 [Abstract] [Full Text] [Related]
24. 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 Apr 20; 17(4):1451-1458. PubMed ID: 30596582 [Abstract] [Full Text] [Related]
25. 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]
26. Identification of Essential Proteins Based on Improved HITS Algorithm. Lei X, Wang S, Wu F. Genes (Basel); 2019 Feb 25; 10(2):. PubMed ID: 30823614 [Abstract] [Full Text] [Related]
27. A New Method for Identifying Essential Proteins by Measuring Co-Expression and Functional Similarity. Zhang W, Xu J, Li X, Zou X. IEEE Trans Nanobioscience; 2016 Dec 25; 15(8):939-945. PubMed ID: 27834650 [Abstract] [Full Text] [Related]
28. 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]
29. Predicting Essential Proteins Based on Integration of Local Fuzzy Fractal Dimension and Subcellular Location Information. Shen L, Zhang J, Wang F, Liu K. Genes (Basel); 2022 Jan 19; 13(2):. PubMed ID: 35205217 [Abstract] [Full Text] [Related]
30. A novel method to predict essential proteins based on tensor and HITS algorithm. Zhang Z, Luo Y, Hu S, Li X, Wang L, Zhao B. Hum Genomics; 2020 Apr 06; 14(1):14. PubMed ID: 32252824 [Abstract] [Full Text] [Related]
31. Prediction of essential proteins based on overlapping essential modules. Zhao B, Wang J, Li M, Wu FX, Pan Y. IEEE Trans Nanobioscience; 2014 Dec 06; 13(4):415-24. PubMed ID: 25122840 [Abstract] [Full Text] [Related]
32. Identification of protein complexes from multi-relationship protein interaction networks. Li X, Wang J, Zhao B, Wu FX, Pan Y. Hum Genomics; 2016 Jul 25; 10 Suppl 2(Suppl 2):17. PubMed ID: 27461193 [Abstract] [Full Text] [Related]
33. Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network. Khunlertgit N, Yoon BJ. BMC Bioinformatics; 2016 Oct 06; 17(Suppl 13):351. PubMed ID: 27766944 [Abstract] [Full Text] [Related]
34. 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]
35. Identifying essential proteins from protein-protein interaction networks based on influence maximization. Xu W, Dong Y, Guan J, Zhou S. BMC Bioinformatics; 2022 Aug 16; 23(Suppl 8):339. PubMed ID: 35974329 [Abstract] [Full Text] [Related]
36. A new computational strategy for identifying essential proteins based on network topological properties and biological information. Qin C, Sun Y, Dong Y. PLoS One; 2017 Aug 16; 12(7):e0182031. PubMed ID: 28753682 [Abstract] [Full Text] [Related]
37. 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 16; 106():107935. PubMed ID: 37536230 [Abstract] [Full Text] [Related]
38. Exploiting locational and topological overlap model to identify modules in protein interaction networks. Cheng L, Liu P, Wang D, Leung KS. BMC Bioinformatics; 2019 Jan 14; 20(1):23. PubMed ID: 30642247 [Abstract] [Full Text] [Related]
39. 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]
40. A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. Zeng M, Li M, Fei Z, Wu FX, Li Y, Pan Y, Wang J. IEEE/ACM Trans Comput Biol Bioinform; 2021 Jun 01; 18(1):296-305. PubMed ID: 30736002 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]