Showing 1 - 20 results of 20 for search 'Chang-qing Yu', query time: 0.07s Refine Results
  1. 1
    Prediction of Drug–Target Interactions by Combining Dual-Tree Complex Wavelet Transform with Ensemble Learning Method

    Prediction of Drug–Target Interactions by Combining Dual-Tree Complex Wavelet Transform with Ensemble Learning Method by Jie Pan, Li-Ping Li, Zhu-Hong You, Chang-Qing Yu, Zhong-Hao Ren, Yao Chen

    Published 2021-09-01
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  2. 2
    Improved prediction of drug-target interactions based on ensemble learning with fuzzy local ternary pattern

    Improved prediction of drug-target interactions based on ensemble learning with fuzzy local ternary pattern by Zheng-Yang Zhao, Wen-Zhun Huang, Xin-Ke Zhan, Yu-An Huang, Shan-Wen Zhang, Chang-Qing Yu

    Published 2021-07-01
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  3. 3
    Sequence-Based Prediction of Plant Protein-Protein Interactions by Combining Discrete Sine Transformation With Rotation Forest

    Sequence-Based Prediction of Plant Protein-Protein Interactions by Combining Discrete Sine Transformation With Rotation Forest by Jie Pan, Li-Ping Li, Chang-Qing Yu, Zhu-Hong You, Yong-Jian Guan, Zhong-Hao Ren

    Published 2021-10-01
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  4. 4
    Prediction of Protein–Protein Interactions in Arabidopsis, Maize, and Rice by Combining Deep Neural Network With Discrete Hilbert Transform

    Prediction of Protein–Protein Interactions in Arabidopsis, Maize, and Rice by Combining Deep Neural Network With Discrete Hilbert Transform by Jie Pan, Li-Ping Li, Zhu-Hong You, Chang-Qing Yu, Zhong-Hao Ren, Yong-Jian Guan

    Published 2021-09-01
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  5. 5
    GBDR: a Bayesian model for precise prediction of pathogenic microorganisms using 16S rRNA gene sequences

    GBDR: a Bayesian model for precise prediction of pathogenic microorganisms using 16S rRNA gene sequences by Yu-An Huang, Zhi-An Huang, Jian-Qiang Li, Zhu-Hong You, Lei Wang, Hai-Cheng Yi, Chang-Qing Yu

    Published 2022-03-01
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  6. 6
    Predicting lncRNA-miRNA Interaction via Graph Convolution Auto-Encoder

    Predicting lncRNA-miRNA Interaction via Graph Convolution Auto-Encoder by Yu-An Huang, Zhi-An Huang, Zhu-Hong You, Zexuan Zhu, Wen-Zhun Huang, Jian-Xin Guo, Chang-Qing Yu

    Published 2019-08-01
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  7. 7
    BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks

    BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks by Xin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, Yan Wang, Lan Huang, Yan Qiao, Lei Wang, Zheng-Wei Li

    Published 2024-08-01
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  8. 8
    BJLD-CMI: a predictive circRNA-miRNA interactions model combining multi-angle feature information

    BJLD-CMI: a predictive circRNA-miRNA interactions model combining multi-angle feature information by Yi-Xin Zhao, Chang-Qing Yu, Li-Ping Li, Li-Ping Li, Deng-Wu Wang, Hui-Fan Song, Yu Wei

    Published 2024-05-01
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  9. 9
    SAWRPI: A Stacking Ensemble Framework With Adaptive Weight for Predicting ncRNA-Protein Interactions Using Sequence Information

    SAWRPI: A Stacking Ensemble Framework With Adaptive Weight for Predicting ncRNA-Protein Interactions Using Sequence Information by Zhong-Hao Ren, Chang-Qing Yu, Li-Ping Li, Zhu-Hong You, Yong-Jian Guan, Yue-Chao Li, Jie Pan

    Published 2022-02-01
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  10. 10
    BioChemDDI: Predicting Drug–Drug Interactions by Fusing Biochemical and Structural Information through a Self-Attention Mechanism

    BioChemDDI: Predicting Drug–Drug Interactions by Fusing Biochemical and Structural Information through a Self-Attention Mechanism by Zhong-Hao Ren, Chang-Qing Yu, Li-Ping Li, Zhu-Hong You, Jie Pan, Yong-Jian Guan, Lu-Xiang Guo

    Published 2022-05-01
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  11. 11
    MFIDMA: A Multiple Information Integration Model for the Prediction of Drug–miRNA Associations

    MFIDMA: A Multiple Information Integration Model for the Prediction of Drug–miRNA Associations by Yong-Jian Guan, Chang-Qing Yu, Yan Qiao, Li-Ping Li, Zhu-Hong You, Zhong-Hao Ren, Yue-Chao Li, Jie Pan

    Published 2022-12-01
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  12. 12
    MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules

    MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules by Yong-Jian Guan, Chang-Qing Yu, Li-Ping Li, Zhu-Hong You, Meng-meng Wei, Xin-Fei Wang, Chen Yang, Lu-Xiang Guo

    Published 2024-01-01
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  13. 13
    KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder

    KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder by Xin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, Yan Qiao, Zheng-Wei Li, Wen-Zhun Huang, Ji-Ren Zhou, Hai-Yan Jin

    Published 2023-08-01
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  14. 14
    BNEMDI: A Novel MicroRNA–Drug Interaction Prediction Model Based on Multi-Source Information With a Large-Scale Biological Network

    BNEMDI: A Novel MicroRNA–Drug Interaction Prediction Model Based on Multi-Source Information With a Large-Scale Biological Network by Yong-Jian Guan, Chang-Qing Yu, Li-Ping Li, Li-Ping Li, Zhu-Hong You, Zhong-Hao Ren, Jie Pan, Yue-Chao Li

    Published 2022-07-01
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  15. 15
    SGCNCMI: A New Model Combining Multi-Modal Information to Predict circRNA-Related miRNAs, Diseases and Genes

    SGCNCMI: A New Model Combining Multi-Modal Information to Predict circRNA-Related miRNAs, Diseases and Genes by Chang-Qing Yu, Xin-Fei Wang, Li-Ping Li, Zhu-Hong You, Wen-Zhun Huang, Yue-Chao Li, Zhong-Hao Ren, Yong-Jian Guan

    Published 2022-09-01
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  16. 16
    DeepMPF: deep learning framework for predicting drug–target interactions based on multi-modal representation with meta-path semantic analysis

    DeepMPF: deep learning framework for predicting drug–target interactions based on multi-modal representation with meta-path semantic analysis by Zhong-Hao Ren, Zhu-Hong You, Quan Zou, Chang-Qing Yu, Yan-Fang Ma, Yong-Jian Guan, Hai-Ru You, Xin-Fei Wang, Jie Pan

    Published 2023-01-01
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  17. 17
    DWPPI: A Deep Learning Approach for Predicting Protein–Protein Interactions in Plants Based on Multi-Source Information With a Large-Scale Biological Network

    DWPPI: A Deep Learning Approach for Predicting Protein–Protein Interactions in Plants Based on Multi-Source Information With a Large-Scale Biological Network by Jie Pan, Zhu-Hong You, Li-Ping Li, Li-Ping Li, Wen-Zhun Huang, Jian-Xin Guo, Chang-Qing Yu, Li-Ping Wang, Zheng-Yang Zhao

    Published 2022-03-01
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  18. 18
    LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks model

    LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks model by Meng-Meng Wei, Chang-Qing Yu, Li-Ping Li, Li-Ping Li, Zhu-Hong You, Zhong-Hao Ren, Yong-Jian Guan, Xin-Fei Wang, Yue-Chao Li

    Published 2023-02-01
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  19. 19
    KGDCMI: A New Approach for Predicting circRNA–miRNA Interactions From Multi-Source Information Extraction and Deep Learning

    KGDCMI: A New Approach for Predicting circRNA–miRNA Interactions From Multi-Source Information Extraction and Deep Learning by Xin-Fei Wang, Chang-Qing Yu, Li-Ping Li, Li-Ping Li, Zhu-Hong You, Wen-Zhun Huang, Yue-Chao Li, Zhong-Hao Ren, Yong-Jian Guan

    Published 2022-08-01
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  20. 20
    Progress in the investigation of potash resources in western China

    Progress in the investigation of potash resources in western China by Mian-ping Zheng, Xian-hua Hou, Yong-sheng Zhang, En-yuan Xing, Hong-pu Li, Hong-wei Yin, Chang-qing Yu, Ning-jun Wang, Xiao-lin Deng, Zhao Wei, Zhong-ying Miao, Jia-ai Zhong, Fan Wang, Fu Fan, Xue-fei Zhang, Xu-ben Wang, Tu-qiang Liu, Wei-gang Kong

    Published 2018-09-01
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