Wei Peng
Wei Peng
Kunming uninversity of science and technology
Verified email at
Cited by
Cited by
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
Dynamic protein interaction network construction and applications
J Wang, X Peng, W Peng, FX Wu
Proteomics 14 (4-5), 338-352, 2014
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
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
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
Computational approaches to predicting essential proteins: a survey
J Wang, W Peng, FX Wu
PROTEOMICS–Clinical Applications 7 (1-2), 181-192, 2013
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
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
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
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), 1-13, 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
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
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
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
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
miRDDCR: a miRNA-based method to comprehensively infer drug-disease causal relationships
H Chen, Z Zhang, W Peng
Scientific reports 7 (1), 1-9, 2017
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
Predicting diabetes mellitus genes via protein-protein interaction and protein subcellular localization information
X Tang, X Hu, X Yang, Y Fan, Y Li, W Hu, Y Liao, W Peng, L Gao
BMC genomics 17 (4), 397-405, 2016
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
Network embedding the protein–protein interaction network for human essential genes identification
W Dai, Q Chang, W Peng, J Zhong, Y Li
Genes 11 (2), 153, 2020
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