| Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks W Peng, J Wang, W Wang, Q Liu, FX Wu, Y Pan BMC systems biology 6 (1), 1-17, 2012 | 152 | 2012 |
| Dynamic protein interaction network construction and applications J Wang, X Peng, W Peng, FX Wu Proteomics 14 (4-5), 338-352, 2014 | 110 | 2014 |
| XGBFEMF: an XGBoost-based framework for essential protein prediction J Zhong, Y Sun, W Peng, M Xie, J Yang, X Tang IEEE transactions on nanobioscience 17 (3), 243-250, 2018 | 108 | 2018 |
| Protein–protein interactions: detection, reliability assessment and applications X Peng, J Wang, W Peng, FX Wu, Y Pan Briefings in bioinformatics 18 (5), 798-819, 2017 | 108 | 2017 |
| UDoNC: an algorithm for identifying essential proteins based on protein domains and protein-protein interaction networks W Peng, J Wang, Y Cheng, Y Lu, F Wu, Y Pan IEEE/ACM transactions on computational biology and bioinformatics 12 (2 …, 2014 | 93 | 2014 |
| Prediction of essential proteins based on gene expression programming J Zhong, J Wang, W Peng, Z Zhang, Y Pan BMC genomics 14 (4), 1-8, 2013 | 75 | 2013 |
| Computational approaches to predicting essential proteins: a survey J Wang, W Peng, FX Wu PROTEOMICS–Clinical Applications 7 (1-2), 181-192, 2013 | 71 | 2013 |
| Computational approaches for prioritizing candidate disease genes based on PPI networks W Lan, J Wang, M Li, W Peng, F Wu Tsinghua Science and Technology 20 (5), 500-512, 2015 | 67 | 2015 |
| Identification of protein complexes using weighted pagerank-nibble algorithm and core-attachment structure W Peng, J Wang, B Zhao, L Wang IEEE/ACM Transactions on Computational Biology and Bioinformatics 12 (1 …, 2014 | 63 | 2014 |
| Improving protein function prediction using domain and protein complexes in PPI networks W Peng, J Wang, J Cai, L Chen, M Li, FX Wu BMC systems biology 8, 1-13, 2014 | 61 | 2014 |
| Predicting protein functions by using unbalanced random walk algorithm on three biological networks W Peng, M Li, L Chen, L Wang IEEE/ACM transactions on computational biology and bioinformatics 14 (2 …, 2015 | 48 | 2015 |
| A feature selection method for prediction essential protein J Zhong, J Wang, W Peng, Z Zhang, M Li Tsinghua Science and Technology 20 (5), 491-499, 2015 | 40 | 2015 |
| Inferring LncRNA-disease associations based on graph autoencoder matrix completion X Wu, W Lan, Q Chen, Y Dong, J Liu, W Peng Computational Biology and Chemistry 87, 107282, 2020 | 34 | 2020 |
| GANLDA: graph attention network for lncRNA-disease associations prediction W Lan, X Wu, Q Chen, W Peng, J Wang, YP Chen Neurocomputing 469, 384-393, 2022 | 32 | 2022 |
| A framework for integrating multiple biological networks to predict MicroRNA-disease associations W Peng, W Lan, Z Yu, J Wang, Y Pan IEEE transactions on nanobioscience 16 (2), 100-107, 2016 | 30 | 2016 |
| Improving cancer driver gene identification using multi-task learning on graph convolutional network W Peng, Q Tang, W Dai, T Chen Briefings in Bioinformatics 23 (1), bbab432, 2022 | 29 | 2022 |
| A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph J Song, W Peng, F Wang BMC bioinformatics 20 (1), 1-17, 2019 | 26 | 2019 |
| A novel method for identifying essential genes by fusing dynamic protein–protein interactive networks F Zhang, W Peng, Y Yang, W Dai, J Song Genes 10 (1), 31, 2019 | 25 | 2019 |
| A novel method of predicting microRNA-disease associations based on microRNA, disease, gene and environment factor networks W Peng, W Lan, J Zhong, J Wang, Y Pan Methods 124, 69-77, 2017 | 25 | 2017 |
| A novel essential protein identification method based on PPI networks and gene expression data J Zhong, C Tang, W Peng, M Xie, Y Sun, Q Tang, Q Xiao, J Yang BMC bioinformatics 22 (1), 1-21, 2021 | 24 | 2021 |
