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Hai-Cheng Yi
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2020 – today
- 2024
- [j14]Shihui He, Lijun Yun, Haicheng Yi:
Fusing graph transformer with multi-aggregate GCN for enhanced drug-disease associations prediction. BMC Bioinform. 25(1): 79 (2024) - [j13]Lin-Xuan Hou, Hai-Cheng Yi, Zhu-Hong You, Shi-Hong Chen, Jia Zheng, Chee Keong Kwoh:
MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning. Comput. Biol. Medicine 177: 108642 (2024) - [j12]Yu Li, Zhu-Hong You, Shu-Min Wang, Chenggang Mi, Mei-Neng Wang, Yu-An Huang, Hai-Cheng Yi:
Attention-Based Learning for Predicting Drug-Drug Interactions in Knowledge Graph Embedding Based on Multisource Fusion Information. Int. J. Intell. Syst. 2024: 1-11 (2024) - 2023
- [j11]Xiao-Rui Su, Pengwei Hu, Hai-Cheng Yi, Zhuhong You, Lun Hu:
Predicting Drug-Target Interactions Over Heterogeneous Information Network. IEEE J. Biomed. Health Informatics 27(1): 562-572 (2023) - 2022
- [j10]Hai-Cheng Yi, Zhu-Hong You, De-Shuang Huang, Chee Keong Kwoh:
Graph representation learning in bioinformatics: trends, methods and applications. Briefings Bioinform. 23(1) (2022) - [j9]Long Yang, Li-Ping Li, Hai-Cheng Yi:
DeepWalk based method to predict lncRNA-miRNA associations via lncRNA-miRNA-disease-protein-drug graph. BMC Bioinform. 22-S(12): 621 (2022) - 2021
- [j8]Zhen-Hao Guo, Zhu-Hong You, De-Shuang Huang, Hai-Cheng Yi, Kai Zheng, Zhan-Heng Chen, Yan-Bin Wang:
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm. Briefings Bioinform. 22(2): 2085-2095 (2021) - [j7]Hai-Cheng Yi, Zhu-Hong You, Lei Wang, Xiao-Rui Su, Xi Zhou, Tong-Hai Jiang:
In silico drug repositioning using deep learning and comprehensive similarity measures. BMC Bioinform. 22-S(3): 293 (2021) - [j6]Zhen-Hao Guo, Zhan-Heng Chen, Zhu-Hong You, Yan-Bin Wang, Hai-Cheng Yi, Mei-Neng Wang:
A learning-based method to predict LncRNA-disease associations by combining CNN and ELM. BMC Bioinform. 22-S(5): 622 (2021) - [j5]Hai-Cheng Yi, Zhu-Hong You, Zhen-Hao Guo, De-Shuang Huang, Keith C. C. Chan:
Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2546-2554 (2021) - [c11]Xiao-Rui Su, Zhu-Hong You, Hai-Cheng Yi, Bo-Wei Zhao:
Detection of Drug-Drug Interactions Through Knowledge Graph Integrating Multi-attention with Capsule Network. ICIC (3) 2021: 423-432 - [c10]Xiao-Rui Su, Zhu-Hong You, Zhan-Heng Chen, Hai-Cheng Yi, Zhen-Hao Guo:
Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation. ICIC (3) 2021: 617-626 - 2020
- [j4]Hai-Cheng Yi, Zhu-Hong You, Mei-Neng Wang, Zhen-Hao Guo, Yan-Bin Wang, Ji-Ren Zhou:
RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information. BMC Bioinform. 21(1): 60 (2020) - [j3]Bo-Ya Ji, Zhu-Hong You, Zhan-Heng Chen, Leon Wong, Hai-Cheng Yi:
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information. BMC Bioinform. 21(1): 401 (2020) - [j2]Yan-Bin Wang, Zhu-Hong You, Shan Yang, Hai-Cheng Yi, Zhan-Heng Chen, Kai Zheng:
A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network. BMC Medical Informatics Decis. Mak. 20-S(2): 49 (2020) - [j1]Jianqiang Li, Xiaofeng Shi, Zhu-Hong You, Hai-Cheng Yi, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang:
Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1546-1554 (2020) - [c9]Xiao-Rui Su, Zhuhong You, Hai-Cheng Yi:
Prediction of LncRNA-Disease Associations Based on Network Representation Learning. BIBM 2020: 1805-1812 - [c8]Zhen-Hao Guo, Zhu-Hong You, Li-Ping Li, Zhan-Heng Chen, Hai-Cheng Yi, Yan-Bin Wang:
Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information. ICIC (2) 2020: 279-289 - [c7]Hai-Cheng Yi, Zhu-Hong You, Xiao-Rui Su, De-Shuang Huang, Zhen-Hao Guo:
A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model. ICIC (2) 2020: 339-347 - [c6]Zhan-Heng Chen, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi, Gong-Xu Luo, Yan-Bin Wang:
Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network. ICIC (2) 2020: 348-358 - [c5]Xiao-Rui Su, Zhu-Hong You, Ji-Ren Zhou, Hai-Cheng Yi, Xiao Li:
A Novel Computational Approach for Predicting Drug-Target Interactions via Network Representation Learning. ICIC (2) 2020: 481-492 - [c4]Ping Zhang, Bo-Wei Zhao, Leon Wong, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi:
A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model. ICIC (2) 2020: 505-513
2010 – 2019
- 2019
- [c3]Hai-Cheng Yi, Zhu-Hong You, Yan-Bin Wang, Zhan-Heng Chen, Zhen-Hao Guo, Hui-Juan Zhu:
In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information. ICIC (2) 2019: 313-323 - [c2]Tao Wang, Hai-Cheng Yi, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang, Lun Hu, Leon Wong:
A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel. ICIC (2) 2019: 344-353 - [c1]Yan-Bin Wang, Zhu-Hong You, Hai-Cheng Yi, Zhan-Heng Chen, Zhen-Hao Guo, Kai Zheng:
Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins. ICIC (2) 2019: 460-467
Coauthor Index
aka: Zhuhong You
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last updated on 2024-11-14 22:04 CET by the dblp team
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