Wei Peng
Orcid: 0000-0002-9572-951XAffiliations:
- Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Yunnan, China
- Central South University, School of Information Science and Engineering, Changsha, China (PhD 2013)
According to our database1,
Wei Peng
authored at least 54 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Predicting Clinical Anticancer Drug Response of Patients by Using Domain Alignment and Prototypical Learning.
IEEE J. Biomed. Health Informatics, February, 2025
Fusion of brain imaging genetic data for alzheimer's disease diagnosis and causal factors identification using multi-stream attention mechanisms and graph convolutional networks.
Neural Networks, 2025
Multi-domains personalized local differential privacy frequency estimation mechanism for utility optimization.
Comput. Secur., 2025
2024
Health Inf. Sci. Syst., December, 2024
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration.
Health Inf. Sci. Syst., December, 2024
IEEE Trans. Netw. Sci. Eng., 2024
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
DGCL: A Contrastive Learning Method for Predicting Cancer Driver Genes Based on Graph Diffusion.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
Sparse Attention-based Hierarchical Node Representation for Spatial Domain Identification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Essential proteins discovery based on dominance relationship and neighborhood similarity centrality.
Health Inf. Sci. Syst., December, 2023
Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism.
BMC Bioinform., December, 2023
Comput. Graph. Forum, September, 2023
Mach. Vis. Appl., May, 2023
Comput. Biol. Medicine, May, 2023
RA-DENet: Reverse Attention and Distractions Elimination Network for polyp segmentation.
Comput. Biol. Medicine, March, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
A multi-view comparative learning method for spatial transcriptomics data clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Essential proteins identification based on weak consensus model and neighborhood aggregation centrality.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Identifying Cancer Patient Subgroups by Finding Co-Modules From the Driver Mutation Profiles and Downstream Gene Expression Profiles.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Neurocomputing, 2022
Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions.
Bioinform., 2022
Improving cancer driver gene identification using multi-task learning on graph convolutional network.
Briefings Bioinform., 2022
Proceedings of the Blockchain and Trustworthy Systems - 4th International Conference, 2022
Identification of personalized driver genes for individuals using graph convolution network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
J. Comput. Biol., 2021
A novel essential protein identification method based on PPI networks and gene expression data.
BMC Bioinform., 2021
Briefings Bioinform., 2021
A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021
2020
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Predicting protein functions by using non-negative matrix factorisation with multi-networks co-regularisation.
Int. J. Data Min. Bioinform., 2020
Comput. Biol. Chem., 2020
A multi-view approach for predicting microbedisease associations by fusing the linear and nonlinear features.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph.
BMC Bioinform., 2019
Proceedings of the Bioinformatics Research and Applications - 15th International Symposium, 2019
Identifying Human Essential Genes by Network Embedding Protein-Protein Interaction Network.
Proceedings of the Bioinformatics Research and Applications - 15th International Symposium, 2019
Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2017
Predicting Protein Functions by Using Unbalanced Random Walk Algorithm on Three Biological Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Iteration method for detecting disease genes in terms of the integration of the cellular compartment information with the protein-protein interaction data.
Int. J. Data Min. Bioinform., 2017
Briefings Bioinform., 2017
2016
Proceedings of the Bioinformatics Research and Applications - 12th International Symposium, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
UDoNC: An Algorithm for Identifying Essential Proteins Based on Protein Domains and Protein-Protein Interaction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparison.
Algorithms Mol. Biol., 2015
2014
Improving protein function prediction using domain and protein complexes in PPI networks.
BMC Syst. Biol., 2014
2013
Identifying essential proteins based on protein domains in protein-protein interaction networks.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
A dividing-and-matching algorithm to detect conserved protein complexes via local network alignment.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks.
BMC Syst. Biol., 2012