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Yuqi Wen
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2020 – today
- 2024
- [j15]Raymond Fosu Appiah, Zhen Jin, Junyuan Yang, Joshua Kiddy K. Asamoah, Yuqi Wen:
Mathematical modeling of two strains tuberculosis and COVID-19 vaccination model: a co-infection study with cost-effectiveness analysis. Frontiers Appl. Math. Stat. 10 (2024) - [j14]Xiaoqi Wang
, Yuqi Wen, Yixin Zhang, Chong Dai, Yaning Yang, Xiaochen Bo, Song He, Shaoliang Peng:
A hierarchical attention network integrating multi-scale relationship for drug response prediction. Inf. Fusion 110: 102485 (2024) - [j13]Qiong Tan
Multi-view uncertainty deep forest: An innovative deep forest equipped with uncertainty estimation for drug-induced liver injury prediction. Inf. Sci. 667: 120342 (2024) - [j12]Ao Liu
DC-Link Power Ripple Mitigation of Three-Phase Grid-Tied Inverters With Virtual Phase-Current Regulation. IEEE Trans. Ind. Electron. 71(10): 12402-12413 (2024) - 2023
- [j11]Yuqi Wen, Linyi Zheng, Dongjin Leng, Chong Dai, Jing Lu, Zhongnan Zhang, Song He, Xiaochen Bo
Deep Learning-Based Multiomics Data Integration Methods for Biomedical Application. Adv. Intell. Syst. 5(5) (2023) - [j10]Hong Wang, Chong Dai, Yuqi Wen, Xiaoqi Wang, Wenjuan Liu, Song He
GADRP: graph convolutional networks and autoencoders for cancer drug response prediction. Briefings Bioinform. 24(1) (2023) - [j9]Lianlian Wu, Xiaona Ye, Yixin Zhang, Jie Gao, Zhikai Lin, Binsheng Sui, Yuqi Wen, Qingqiang Wu, Kunhong Liu, Song He
A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction. J. Chem. Inf. Model. 63(12): 3941-3954 (2023) - [c4]Ao Liu
Operation Characteristics Analysis of Power Synchronization Control Under Frequency Drop. IECON 2023: 1-6 - 2022
- [j8]Lianlian Wu
Machine learning methods, databases and tools for drug combination prediction. Briefings Bioinform. 23(1) (2022) - [j7]Weiping Lin
An enhanced cascade-based deep forest model for drug combination prediction. Briefings Bioinform. 23(2) (2022) - [j6]Kanghao Shao, Yunhao Zhang, Yuqi Wen, Zhongnan Zhang
DTI-HETA: prediction of drug-target interactions based on GCN and GAT on heterogeneous graph. Briefings Bioinform. 23(3) (2022) - [j5]Jing Wang, Qinglong Zhang, Junshan Han, Yanpeng Zhao
Computational methods, databases and tools for synthetic lethality prediction. Briefings Bioinform. 23(3) (2022) - 2021
- [j4]Yuqi Wen, Xinyu Song
Multi-dimensional data integration algorithm based on random walk with restart. BMC Bioinform. 22(1): 97 (2021) - [j3]Lianlian Wu, Yuqi Wen, Xiaoxi Yang, Bowei Yan, Song He
Synthetic Lethal Interactions Prediction Based on Multiple Similarity Measures Fusion. J. Comput. Sci. Technol. 36(2): 261-275 (2021) - [j2]Song He
COMSUC: A web server for the identification of consensus molecular subtypes of cancer based on multiple methods and multi-omics data. PLoS Comput. Biol. 17(3) (2021) - [c3]Yihua Ye, Yuxin Chen, Zhongnan Zhang, Yuqi Wen, Song He, Xiaochen Bo:
Drug-target interaction prediction based on nonnegative and self-representative matrix factorization. BIBM 2021: 2352-2359 - [c2]Peng Ke, Yuqi Wen, Zhongnan Zhang, Song He, Xiaochen Bo:
A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network. ICANN (1) 2021: 465-476 - 2020
- [j1]Song He
PIMD: An Integrative Approach for Drug Repositioning Using Multiple Characterization Fusion. Genom. Proteom. Bioinform. 18(5): 565-581 (2020)
2010 – 2019
- 2018
- [c1]Xiaolong Shen, Song He, Minquan Fang, Yuqi Wen, Xiaochen Bo
paraSNF: An Parallel Approach for Large-Scale Similarity Network Fusion. ACA 2018: 155-167
Coauthor Index
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