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Wei Peng 0004
Person information
- affiliation: Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Yunnan, China
- affiliation (PhD 2013): Central South University, School of Information Science and Engineering, Changsha, China
Other persons with the same name
- Wei Peng — disambiguation page
- Wei Peng 0001 — Xerox Innovation Group, Webster, NY, USA (and 1 more)
- Wei Peng 0002
— Michigan State University, Department of Media and Information, East Lansing, MI, USA (and 1 more)
- Wei Peng 0003
- Wei Peng 0005
- Wei Peng 0006
- Wei Peng 0007 — Intel Corporation, Folsom, USA (and 1 more)
- Wei Peng 0008
- Wei Peng 0009
- Wei Peng 0010
- Wei Peng 0011
- Wei Peng 0012
- Wei Peng 0013 — New York University, Department of Computer Science, New York, NY, USA (and 1 more)
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2020 – today
- 2024
- [j32]Fangxu Chen, Wei Peng
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration. Health Inf. Sci. Syst. 12(1): 12 (2024) - [j31]Gaoshi Li, Zhipeng Hu
Identification of cancer driver genes based on hierarchical weak consensus model. Health Inf. Sci. Syst. 12(1): 21 (2024) - [j30]Wei Peng
Multi-Network Graph Contrastive Learning for Cancer Driver Gene Identification. IEEE Trans. Netw. Sci. Eng. 11(4): 3430-3440 (2024) - [c16]Wei Peng, Chuyue Chen, Wei Dai:
Patient Anticancer Drug Response Prediction Based on Single-Cell Deconvolution. ISBRA (3) 2024: 40-51 - [c15]Wei Peng, Jiangzhen Lin, Wei Dai, Gong Chen, Xiaodong Fu, Li Liu, Lijun Liu:
Hypergraph Representation Learning for Cancer Drug Response Prediction. ISBRA (2) 2024: 339-349 - [c14]Wei Peng, Zhengnan Zhou, Wei Dai, Xinping Xu, Xiaodong Fu, Li Liu, Lijun Liu:
DGCL: A Contrastive Learning Method for Predicting Cancer Driver Genes Based on Graph Diffusion. ISBRA (2) 2024: 350-359 - [e3]Wei Peng
Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14954, Springer 2024, ISBN 978-981-97-5127-3 [contents] - [e2]Wei Peng
Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14955, Springer 2024, ISBN 978-981-97-5130-3 [contents] - [e1]Wei Peng
Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14956, Springer 2024, ISBN 978-981-97-5086-3 [contents] - [i1]Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng:
Transformer-based Single-Cell Language Model: A Survey. CoRR abs/2407.13205 (2024) - 2023
- [j29]Wei Peng, Rong Wu, Wei Dai, Ning Yu:
Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism. BMC Bioinform. 24(1): 16 (2023) - [j28]Kaiqi Wang, Li Liu
RA-DENet: Reverse Attention and Distractions Elimination Network for polyp segmentation. Comput. Biol. Medicine 155: 106704 (2023) - [j27]Wei Peng
Improving drug response prediction based on two-space graph convolution. Comput. Biol. Medicine 158: 106859 (2023) - [j26]Juncheng Pu
Feature Representation for High-resolution Clothed Human Reconstruction. Comput. Graph. Forum 42(6) (2023) - [j25]Gaoshi Li, Xinlong Luo
Essential proteins discovery based on dominance relationship and neighborhood similarity centrality. Health Inf. Sci. Syst. 11(1): 55 (2023) - [j24]Yong Wei, Li Liu
Crowded pose-guided multi-task learning for instance-level human parsing. Mach. Vis. Appl. 34(3): 46 (2023) - [j23]Wei Peng
Multi-View Feature Aggregation for Predicting Microbe-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2748-2758 (2023) - [j22]Wei Peng
Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3363-3375 (2023) - [c13]Wei Peng, Zhihao Zhang, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu:
A multi-view comparative learning method for spatial transcriptomics data clustering. BIBM 2023: 287-292 - [c12]Zhipeng Hu, Gaoshi Li, Jingli Wu, Xinlong Luo, Jiafei Liu, Wei Peng, Xiaoshu Zhu:
Essential proteins identification based on weak consensus model and neighborhood aggregation centrality. BIBM 2023: 324-327 - 2022
- [j21]Wei Peng
Improving cancer driver gene identification using multi-task learning on graph convolutional network. Briefings Bioinform. 23(1) (2022) - [j20]Wei Peng
Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions. Bioinform. 38(19): 4546-4553 (2022) - [j19]Wei Lan
GANLDA: Graph attention network for lncRNA-disease associations prediction. Neurocomputing 469: 384-393 (2022) - [j18]Junrong Song, Wei Peng
Identifying Cancer Patient Subgroups by Finding Co-Modules From the Driver Mutation Profiles and Downstream Gene Expression Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2863-2872 (2022) - [j17]Wei Peng
Predicting Drug Response Based on Multi-Omics Fusion and Graph Convolution. IEEE J. Biomed. Health Informatics 26(3): 1384-1393 (2022) - [c11]Wei Peng, Piaofang Yu, Wei Dai, Xiaodong Fu, Li Liu, Yi Pan:
Identification of personalized driver genes for individuals using graph convolution network. BIBM 2022: 523-528 - [c10]Xinxin Qi, Xiaodong Fu, Fei Dai, Li Liu
Collusion Attack Analysis and Detection of DPoS Consensus Mechanism. BlockSys 2022: 194-206 - 2021
- [j16]Jiancheng Zhong, Yusui Sun, Minzhu Xie, Wei Peng, Chushu Zhang, Fang-Xiang Wu
Proteoform characterization based on top-down mass spectrometry. Briefings Bioinform. 22(2): 1729-1750 (2021) - [j15]Jiancheng Zhong, Chao Tang, Wei Peng, Minzhu Xie, Yusui Sun, Qiang Tang, Qiu Xiao, Jiahong Yang:
A novel essential protein identification method based on PPI networks and gene expression data. BMC Bioinform. 22(1): 248 (2021) - [j14]Wei Lan
Prediction of circRNA-miRNA Associations Based on Network Embedding. Complex. 2021: 6659695:1-6659695:10 (2021) - [j13]Wei Dai, Bingxi Chen, Wei Peng, Xia Li, Jiancheng Zhong, Jianxin Wang:
A Novel Multi-Ensemble Method for Identifying Essential Proteins. J. Comput. Biol. 28(7): 637-649 (2021) - [c9]Zicheng Che, Wei Peng, Wei Dai, Shoulin Wei
A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association. ISBRA 2021: 130-141 - 2020
- [j12]Ximin Wu, Wei Lan
Inferring LncRNA-disease associations based on graph autoencoder matrix completion. Comput. Biol. Chem. 87: 107282 (2020) - [j11]Wei Peng, Jielin Du, Lun Li
Predicting protein functions by using non-negative matrix factorisation with multi-networks co-regularisation. Int. J. Data Min. Bioinform. 23(4): 318-342 (2020) - [j10]Junrong Song, Wei Peng
An Entropy-Based Method for Identifying Mutual Exclusive Driver Genes in Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 758-768 (2020) - [c8]Ming Liu, Wei Dai, Wei Peng, Yu Fu, Yi Pan
A multi-view approach for predicting microbedisease associations by fusing the linear and nonlinear features. BIBM 2020: 323-328
2010 – 2019
- 2019
- [j9]Junrong Song, Wei Peng
A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph. BMC Bioinform. 20(1): 238:1-238:17 (2019) - [c7]Wei Peng, Lun Li
Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information. BIBM 2019: 86-89 - [c6]Wei Dai, Qi Chang, Wei Peng, Jiancheng Zhong, Yongjiang Li:
Identifying Human Essential Genes by Network Embedding Protein-Protein Interaction Network. ISBRA 2019: 127-137 - [c5]Wei Dai, Xia Li, Wei Peng, Jurong Song, Jiancheng Zhong, Jianxin Wang:
Improving Identification of Essential Proteins by a Novel Ensemble Method. ISBRA 2019: 146-155 - 2017
- [j8]Xiaoqing Peng, Jianxin Wang, Wei Peng, Fang-Xiang Wu
Protein-protein interactions: detection, reliability assessment and applications. Briefings Bioinform. 18(5): 798-819 (2017) - [j7]Xiwei Tang, Wei Peng, Minzhu Xie:
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. 18(4): 315-330 (2017) - [j6]Wei Peng, Min Li, Lu Chen, Lusheng Wang:
Predicting Protein Functions by Using Unbalanced Random Walk Algorithm on Three Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 360-369 (2017) - 2016
- [c4]Wei Peng, Wei Lan
Predicting microRNA-disease associations by walking on four biological networks. BIBM 2016: 299-302 - [c3]Wei Peng, Wei Lan
Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks. ISBRA 2016: 127-135 - 2015
- [j5]Wei Peng, Jianxin Wang, Fang-Xiang Wu
Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparison. Algorithms Mol. Biol. 10: 21 (2015) - [j4]Wei Peng, Jianxin Wang, Bihai Zhao, Lusheng Wang
Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure. IEEE ACM Trans. Comput. Biol. Bioinform. 12(1): 179-192 (2015) - [j3]Wei Peng, Jianxin Wang, Yingjiao Cheng, Yu Lu, Fang-Xiang Wu
UDoNC: An Algorithm for Identifying Essential Proteins Based on Protein Domains and Protein-Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 276-288 (2015) - 2014
- [j2]Wei Peng, Jianxin Wang, Juan Cai, Lu Chen, Min Li, Fang-Xiang Wu
Improving protein function prediction using domain and protein complexes in PPI networks. BMC Syst. Biol. 8: 35 (2014) - 2013
- [c2]Wei Peng, Jianxin Wang, Fang-Xiang Wu
A dividing-and-matching algorithm to detect conserved protein complexes via local network alignment. BIBM 2013: 78-81 - [c1]Jianxin Wang, Wei Peng, Yingjiao Chen, Yu Lu, Yi Pan
Identifying essential proteins based on protein domains in protein-protein interaction networks. BIBM 2013: 133-138 - 2012
- [j1]Wei Peng, Jianxin Wang, Weiping Wang, Qing Liu, Fang-Xiang Wu
Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks. BMC Syst. Biol. 6: 87 (2012)
Coauthor Index
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