Integration of Genomic and Proteomic Data to Predict Synthetic Genetic Interactions Using Semi-supervised Learning. - Zhuhong You; Shanwen Zhang; Liping Li 003 (ICIC (2), 2009)

Increasing Reliability of Protein Interactome by Combining Heterogeneous Data Sources with Weighted Network Topological Metrics. - Zhu-Hong You; Liping Li 003; Hongjie Yu; Sanfeng Chen; Shu-Lin Wang (ICIC (1), 2010)

Research on Signaling Pathways Reconstruction by Integrating High Content RNAi Screening and Functional Gene Network. - Zhu-Hong You; Zhong Ming 001; Liping Li 003; Qiao-Ying Huang (ICIC (2), 2013)

Prediction of protein-protein interactions from amino acid sequences using extreme learning machine combined with auto covariance descriptor. - Zhu-Hong You; Liping Li 003; Zhen Ji; Min Li; Sen Guo (Memetic Computing, 2013)

RP-FIRF: Prediction of Self-interacting Proteins Using Random Projection Classifier Combining with Finite Impulse Response Filter. - Zhan-Heng Chen; Zhu-Hong You; Liping Li 003; Yan-Bin Wang; Xiao Li 007 (ICIC (2), 2018)

Efficient Framework for Predicting ncRNA-Protein Interactions Based on Sequence Information by Deep Learning. - Zhaohui Zhan; Zhu-Hong You; Yong Zhou 003; Li-Ping Li 003; Zheng-Wei Li 001 (ICIC (2), 2018)

Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine. - Yanbin Wang; Zhuhong You; Liping Li 003; Li Cheng; Xi Zhou; Libo Zhang; Xiao Li 007; Tonghai Jiang (Complex., 2018)

Predicting circRNA-disease associations using deep generative adversarial network based on multi-source fusion information. - Lei Wang 121; Zhu-Hong You; Li-Ping Li 003; Kai Zheng 020; Yan-Bin Wang (BIBM, 2019)

Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins. - Zhan-Heng Chen; Zhu-Hong You; Li-Ping Li 003; Zhen-Hao Guo; Pengwei Hu 001; Han-Jing Jiang (ICIC (1), 2019)

Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations. - Zhen-Hao Guo; Zhu-Hong You; Li-Ping Li 003; Yan-Bin Wang; Zhan-Heng Chen (ICIC (2), 2019)

Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences. - Yu-An Huang; Zhi-An Huang; Zhu-Hong You; Pengwei Hu 001; Li-Ping Li 003; Zheng-Wei Li 001; Lei Wang 121 (ICIC (2), 2019)

A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel. - Tao Wang; Hai-Cheng Yi; Zhu-Hong You; Li-Ping Li 003; Yan-Bin Wang; Lun Hu; Leon Wong (ICIC (2), 2019)

LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities. - Lei Wang 121; Zhu-Hong You; Xing Chen 001; Yang-Ming Li; Ya-Nan Dong; Li-Ping Li 003; Kai Zheng 020 (PLoS Comput. Biol., 2019)

An Efficient Ensemble Learning Approach for Predicting Protein-Protein Interactions by Integrating Protein Primary Sequence and Evolutionary Information. - Zhu-Hong You; Wenzhun Huang; Shanwen Zhang; Yu-An Huang; Changqing Yu; Li-Ping Li 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information. - Zhen-Hao Guo; Zhu-Hong You; Li-Ping Li 003; Zhan-Heng Chen; Hai-Cheng Yi; Yan-Bin Wang (ICIC (2), 2020)

Predicting Protein-Protein Interactions from Protein Sequence Information Using Dual-Tree Complex Wavelet Transform. - Jie Pan 007; Zhuhong You; Changqing Yu; Li-Ping Li 003; Xinke Zhan (ICIC (2), 2020)

WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations. - Mei-Neng Wang; Zhu-Hong You; Li-Ping Li 003; Zhan-Heng Chen; Xue-Jun Xie (ICIC (3), 2020)

DTIFS: A Novel Computational Approach for Predicting Drug-Target Interactions from Drug Structure and Protein Sequence. - Xin Yan; Zhu-Hong You; Lei Wang 121; Li-Ping Li 003; Kai Zheng 020; Mei-Neng Wang (ICIC (2), 2020)

GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA Interactions. - Mei-Neng Wang; Zhu-Hong You; Li-Ping Li 003; Leon Wong; Zhan-Heng Chen; Chengzhi Gan (IEEE Access, 2020)

Prediction of Drug-Target Interactions by Ensemble Learning Method From Protein Sequence and Drug Fingerprint. - Xinke Zhan; Zhu-Hong You; Jinfan Cai; Liping Li 003; Changqing Yu; Jie Pan 007; Jiangkun Kong (IEEE Access, 2020)

A survey of current trends in computational predictions of protein-protein interactions. - Yanbin Wang; Zhuhong You; Liping Li 003; Zhan-Heng Chen (Frontiers Comput. Sci., 2020)

GANCDA: a novel method for predicting circRNA-disease associations based on deep generative adversarial network. - Xin Yan; Lei Wang 121; Zhu-Hong You; Li-Ping Li 003; Kai Zheng 020 (Int. J. Data Min. Bioinform., 2020)

Computational Prediction of Protein-Protein Interactions in Plants Using Only Sequence Information. - Jie Pan 007; Changqing Yu; Liping Li 003; Zhuhong You; Zhong-Hao Ren; Yao Chen; Yongjian Guan (ICIC (1), 2021)

Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease Associations. - Mei-Neng Wang; Xue-Jun Xie; Zhuhong You; Leon Wong; Liping Li 003; Zhan-Heng Chen (ICIC (3), 2021)

A computational approach for predicting drug-target interactions from protein sequence and drug substructure fingerprint information. - Yang Li 111; Xiaozhang Liu; Zhu-Hong You; Li-Ping Li 003; Jian-Xin Guo; Zheng Wang 065 (Int. J. Intell. Syst., 2021)

LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization. - Mei-Neng Wang; Zhu-Hong You; Lei Wang 121; Li-Ping Li 003; Kai Zheng 020 (Neurocomputing, 2021)

FWHT-RF: A Novel Computational Approach to Predict Plant Protein-Protein Interactions via an Ensemble Learning Method. - Jie Pan 007; Li-Ping Li 003; Changqing Yu; Zhu-Hong You; Zhong-Hao Ren; Jing-Yu Tang (Sci. Program., 2021)

Self-Interacting Proteins Prediction from PSSM Based on Evolutionary Information. - Zheng Wang 065; Yang Li 111; Li-Ping Li 003; Zhu-Hong You; Wenzhun Huang (Sci. Program., 2021)

A biomedical knowledge graph-based method for drug-drug interactions prediction through combining local and global features with deep neural networks. - Zhong-Hao Ren; Zhu-Hong You; Changqing Yu; Li-Ping Li 003; Yongjian Guan; Lu-Xiang Guo; Jie Pan 007 (Briefings Bioinform., 2022)

Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier. - Yang Li 111; Xuegang Hu; Zhu-Hong You; Li-Ping Li 003; Pei-Pei Li 001; Yan-Bin Wang; Yu-An Huang (BMC Bioinform., 2022)

Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations. - Mei-Neng Wang; Xue-Jun Xie; Zhu-Hong You; Leon Wong; Li-Ping Li 003; Zhan-Heng Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks. - Xin-Fei Wang; Changqing Yu; Zhu-Hong You; Li-Ping Li 003; Wenzhun Huang; Zhong-Hao Ren; Yue-Chao Li; Weixiao Meng 001 (Briefings Bioinform., 2023)

BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path. - Mengmeng Wei; Chang-Qing Yu; Li-Ping Li 003; Zhu-Hong You; Lei Wang 121 (J. Chem. Inf. Model., 2023)

RBNE-CMI: An Efficient Method for Predicting circRNA-miRNA Interactions via Multiattribute Incomplete Heterogeneous Network Embedding. - Chang-Qing Yu; Xin-Fei Wang; Li-Ping Li 003; Zhu-Hong You; Zhong-Hao Ren; Peng Chu; Feng Guo; Zhen-Yu Wang (J. Chem. Inf. Model., 2024)

SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution. - Zhong-Hao Ren; Chang-Qing Yu; Li-Ping Li 003; Zhu-Hong You; Zheng-Wei Li 001; Shanwen Zhang; Xiangxiang Zeng; Yi-Fan Shang (J. Chem. Inf. Model., 2024)

MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules. - Yongjian Guan; Chang-Qing Yu; Li-Ping Li 003; Zhu-Hong You; Weixiao Meng 001; Xin-Fei Wang; Chen Yang; Lu-Xiang Guo (BMC Bioinform., 2024)