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150 related items for PubMed ID: 34152838
1. Essential Protein Prediction Based on node2vec and XGBoost. Wang N, Zeng M, Li Y, Wu FX, Li M. J Comput Biol; 2021 Jul; 28(7):687-700. PubMed ID: 34152838 [Abstract] [Full Text] [Related]
3. 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]
4. Prediction of essential proteins based on subcellular localization and gene expression correlation. Fan Y, Tang X, Hu X, Wu W, Ping Q. BMC Bioinformatics; 2017 Dec 01; 18(Suppl 13):470. PubMed ID: 29219067 [Abstract] [Full Text] [Related]
5. 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 Dec 01; 12(7):e0182031. PubMed ID: 28753682 [Abstract] [Full Text] [Related]
6. DeepEP: a deep learning framework for identifying essential proteins. Zeng M, Li M, Wu FX, Li Y, Pan Y. BMC Bioinformatics; 2019 Dec 02; 20(Suppl 16):506. PubMed ID: 31787076 [Abstract] [Full Text] [Related]
7. Predicting essential proteins based on subcellular localization, orthology and PPI networks. Li G, Li M, Wang J, Wu J, Wu FX, Pan Y. BMC Bioinformatics; 2016 Aug 31; 17 Suppl 8(Suppl 8):279. PubMed ID: 27586883 [Abstract] [Full Text] [Related]
8. Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes. Luo J, Qi Y. PLoS One; 2015 Aug 31; 10(6):e0131418. PubMed ID: 26125187 [Abstract] [Full Text] [Related]
9. A deep learning framework for identifying essential proteins based on multiple biological information. Yue Y, Ye C, Peng PY, Zhai HX, Ahmad I, Xia C, Wu YZ, Zhang YH. BMC Bioinformatics; 2022 Aug 04; 23(1):318. PubMed ID: 35927611 [Abstract] [Full Text] [Related]
10. 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]
11. Improving protein-protein interaction prediction using protein language model and protein network features. Hu J, Li Z, Rao B, Thafar MA, Arif M. Anal Biochem; 2024 Oct 06; 693():115550. PubMed ID: 38679191 [Abstract] [Full Text] [Related]
12. Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks. Peng W, Wang J, Wang W, Liu Q, Wu FX, Pan Y. BMC Syst Biol; 2012 Jul 18; 6():87. PubMed ID: 22808943 [Abstract] [Full Text] [Related]
13. 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]
14. 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 Feb 25; 18(1):296-305. PubMed ID: 30736002 [Abstract] [Full Text] [Related]
15. 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]
16. Predicting essential proteins from protein-protein interactions using order statistics. Zhang Z, Ruan J, Gao J, Wu FX. J Theor Biol; 2019 Nov 07; 480():274-283. PubMed ID: 31251944 [Abstract] [Full Text] [Related]
17. A novel scheme for essential protein discovery based on multi-source biological information. Liu W, Ma L, Chen L, Chen B, Jeon B, Qiang J. J Theor Biol; 2020 Nov 07; 504():110414. PubMed ID: 32712150 [Abstract] [Full Text] [Related]
18. Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis. Wang X, Zhang Y, Yu B, Salhi A, Chen R, Wang L, Liu Z. Comput Biol Med; 2021 Jul 07; 134():104516. PubMed ID: 34119922 [Abstract] [Full Text] [Related]
19. A novel extended Pareto Optimality Consensus model for predicting essential proteins. Li G, Li M, Peng W, Li Y, Pan Y, Wang J. J Theor Biol; 2019 Nov 07; 480():141-149. PubMed ID: 31398315 [Abstract] [Full Text] [Related]
20. A novel essential protein identification method based on PPI networks and gene expression data. Zhong J, Tang C, Peng W, Xie M, Sun Y, Tang Q, Xiao Q, Yang J. BMC Bioinformatics; 2021 May 13; 22(1):248. PubMed ID: 33985429 [Abstract] [Full Text] [Related] Page: [Next] [New Search]