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Zhu-Hong You
- > Home > Persons > Zhu-Hong You
Publications
- 2024
- [j128]Yongjian Guan, Chang-Qing Yu, Li-Ping Li, Zhu-Hong You, Weixiao Meng, Xin-Fei Wang, Chen Yang, Lu-Xiang Guo:
MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules. BMC Bioinform. 25(1): 6 (2024) - [j127]Zhong-Hao Ren, Chang-Qing Yu, Li-Ping Li, Zhu-Hong You, Zheng-Wei Li, Shanwen Zhang, Xiangxiang Zeng, Yi-Fan Shang:
SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution. J. Chem. Inf. Model. 64(1): 238-249 (2024) - 2023
- [j121]Xin-Fei Wang, Changqing Yu, Zhu-Hong You, Li-Ping Li, Wenzhun Huang, Zhong-Hao Ren, Yue-Chao Li, Weixiao Meng:
A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks. Briefings Bioinform. 24(3) (2023) - [j113]Meng-Meng Wei, Chang-Qing Yu, Li-Ping Li, Zhu-Hong You, Lei Wang:
BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path. J. Chem. Inf. Model. 63(16): 5384-5394 (2023) - [j109]Mei-Neng Wang, Xue-Jun Xie, Zhu-Hong You, Leon Wong, Li-Ping Li, Zhan-Heng Chen:
Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2610-2618 (2023) - 2022
- [j95]Zhong-Hao Ren, Zhu-Hong You, Changqing Yu, Li-Ping Li, Yongjian Guan, Lu-Xiang Guo, Jie Pan:
A biomedical knowledge graph-based method for drug-drug interactions prediction through combining local and global features with deep neural networks. Briefings Bioinform. 23(5) (2022) - [j90]Yang Li, Xuegang Hu, Zhu-Hong You, Li-Ping Li, Pei-Pei Li, Yan-Bin Wang, Yu-An Huang:
Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier. BMC Bioinform. 23-S(7): 518 (2022) - 2021
- [j77]Yang Li, Xiaozhang Liu, Zhu-Hong You, Li-Ping Li, Jian-Xin Guo, Zheng Wang:
A computational approach for predicting drug-target interactions from protein sequence and drug substructure fingerprint information. Int. J. Intell. Syst. 36(1): 593-609 (2021) - [j76]Mei-Neng Wang, Zhu-Hong You, Lei Wang, Li-Ping Li, Kai Zheng:
LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization. Neurocomputing 424: 236-245 (2021) - [j73]Jie Pan, Li-Ping Li, Changqing Yu, Zhu-Hong You, Zhong-Hao Ren, Jing-Yu Tang:
FWHT-RF: A Novel Computational Approach to Predict Plant Protein-Protein Interactions via an Ensemble Learning Method. Sci. Program. 2021: 1607946:1-1607946:11 (2021) - [j72]Zheng Wang, Yang Li, Li-Ping Li, Zhu-Hong You, Wenzhun Huang:
Self-Interacting Proteins Prediction from PSSM Based on Evolutionary Information. Sci. Program. 2021: 6677758:1-6677758:10 (2021) - [c61]Jie Pan, Changqing Yu, Liping Li, Zhuhong You, Zhong-Hao Ren, Yao Chen, Yongjian Guan:
Computational Prediction of Protein-Protein Interactions in Plants Using Only Sequence Information. ICIC (1) 2021: 115-125 - [c59]Mei-Neng Wang, Xue-Jun Xie, Zhuhong You, Leon Wong, Liping Li, Zhan-Heng Chen:
Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease Associations. ICIC (3) 2021: 467-477 - 2020
- [j66]Mei-Neng Wang, Zhu-Hong You, Li-Ping Li, Leon Wong, Zhan-Heng Chen, Chengzhi Gan:
GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions. IEEE Access 8: 37578-37588 (2020) - [j65]Xinke Zhan, Zhu-Hong You, Jinfan Cai, Liping Li, Changqing Yu, Jie Pan, Jiangkun Kong:
Prediction of Drug-Target Interactions by Ensemble Learning Method From Protein Sequence and Drug Fingerprint. IEEE Access 8: 185465-185476 (2020) - [j60]Yanbin Wang, Zhuhong You, Liping Li, Zhan-Heng Chen:
A survey of current trends in computational predictions of protein-protein interactions. Frontiers Comput. Sci. 14(4): 144901 (2020) - [j59]Xin Yan, Lei Wang, Zhu-Hong You, Li-Ping Li, Kai Zheng:
GANCDA: a novel method for predicting circRNA-disease associations based on deep generative adversarial network. Int. J. Data Min. Bioinform. 23(3): 265-283 (2020) - [c52]Jie Pan, Zhuhong You, Changqing Yu, Li-Ping Li, Xinke Zhan:
Predicting Protein-Protein Interactions from Protein Sequence Information Using Dual-Tree Complex Wavelet Transform. ICIC (2) 2020: 132-142 - [c47]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 - [c40]Xin Yan, Zhu-Hong You, Lei Wang, Li-Ping Li, Kai Zheng, Mei-Neng Wang:
DTIFS: A Novel Computational Approach for Predicting Drug-Target Interactions from Drug Structure and Protein Sequence. ICIC (2) 2020: 371-383 - [c34]Mei-Neng Wang, Zhu-Hong You, Li-Ping Li, Zhan-Heng Chen, Xue-Jun Xie:
WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations. ICIC (3) 2020: 542-551 - 2019
- [j45]Lei Wang, Zhu-Hong You, Xing Chen, Yang-Ming Li, Ya-Nan Dong, Li-Ping Li, Kai Zheng:
LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities. PLoS Comput. Biol. 15(3) (2019) - [j44]Zhu-Hong You, Wenzhun Huang, Shanwen Zhang, Yu-An Huang, Changqing Yu, Li-Ping Li:
An Efficient Ensemble Learning Approach for Predicting Protein-Protein Interactions by Integrating Protein Primary Sequence and Evolutionary Information. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 809-817 (2019) - [c33]Lei Wang, Zhu-Hong You, Li-Ping Li, Kai Zheng, Yan-Bin Wang:
Predicting circRNA-disease associations using deep generative adversarial network based on multi-source fusion information. BIBM 2019: 145-152 - [c32]Yu-An Huang, Zhi-An Huang, Zhu-Hong You, Pengwei Hu, Li-Ping Li, Zheng-Wei Li, Lei Wang:
Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences. ICIC (2) 2019: 138-150 - [c30]Zhan-Heng Chen, Zhu-Hong You, Li-Ping Li, Zhen-Hao Guo, Pengwei Hu, Han-Jing Jiang:
Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins. ICIC (1) 2019: 166-174 - [c27]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 - [c24]Zhen-Hao Guo, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang, Zhan-Heng Chen:
Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations. ICIC (2) 2019: 406-417 - 2018
- [j37]Yanbin Wang, Zhuhong You, Liping Li, Li Cheng, Xi Zhou, Libo Zhang, Xiao Li, Tonghai Jiang:
Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine. Complex. 2018: 4216813:1-4216813:12 (2018) - [c20]Zhan-Heng Chen, Zhu-Hong You, Liping Li, Yan-Bin Wang, Xiao Li:
RP-FIRF: Prediction of Self-interacting Proteins Using Random Projection Classifier Combining with Finite Impulse Response Filter. ICIC (2) 2018: 232-240 - [c19]Zhaohui Zhan, Zhu-Hong You, Yong Zhou, Li-Ping Li, Zheng-Wei Li:
Efficient Framework for Predicting ncRNA-Protein Interactions Based on Sequence Information by Deep Learning. ICIC (2) 2018: 337-344 - 2013
- [c10]Zhu-Hong You, Zhong Ming, Liping Li, Qiao-Ying Huang:
Research on Signaling Pathways Reconstruction by Integrating High Content RNAi Screening and Functional Gene Network. ICIC (2) 2013: 1-10 - [c8]Zhu-Hong You, Liping Li, Zhen Ji, Min Li, Sen Guo:
Prediction of protein-protein interactions from amino acid sequences using extreme learning machine combined with auto covariance descriptor. Memetic Computing 2013: 80-85 - 2010
- [c5]Zhu-Hong You, Liping Li, Hongjie Yu, Sanfeng Chen, Shu-Lin Wang:
Increasing Reliability of Protein Interactome by Combining Heterogeneous Data Sources with Weighted Network Topological Metrics. ICIC (1) 2010: 657-663 - 2009
- [c4]Zhuhong You, Shanwen Zhang, Liping Li:
Integration of Genomic and Proteomic Data to Predict Synthetic Genetic Interactions Using Semi-supervised Learning. ICIC (2) 2009: 635-644
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