Hasil Pencarian - Fang‐Xiang Wu

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  1. 1
    deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks

    deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks oleh Ping Luo, Yulian Ding, Xiujuan Lei, Fang-Xiang Wu, Fang-Xiang Wu, Fang-Xiang Wu, Fang-Xiang Wu

    Diterbitkan 2019-01-01
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  2. 2
    Identifying Disease-Gene Associations With Graph-Regularized Manifold Learning

    Identifying Disease-Gene Associations With Graph-Regularized Manifold Learning oleh Ping Luo, Qianghua Xiao, Pi-Jing Wei, Pi-Jing Wei, Bo Liao, Fang-Xiang Wu, Fang-Xiang Wu, Fang-Xiang Wu, Fang-Xiang Wu

    Diterbitkan 2019-04-01
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  3. 3
    Prioritizing Cancer Genes Based on an Improved Random Walk Method

    Prioritizing Cancer Genes Based on an Improved Random Walk Method oleh Pi-Jing Wei, Fang-Xiang Wu, Fang-Xiang Wu, Fang-Xiang Wu, Junfeng Xia, Yansen Su, Jing Wang, Jing Wang, Chun-Hou Zheng

    Diterbitkan 2020-04-01
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  4. 4
    MAC: Merging Assemblies by Using Adjacency Algebraic Model and Classification

    MAC: Merging Assemblies by Using Adjacency Algebraic Model and Classification oleh Li Tang, Min Li, Fang-Xiang Wu, Fang-Xiang Wu, Yi Pan, Yi Pan, Jianxin Wang

    Diterbitkan 2020-01-01
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  5. 5
    Prediction of Target-Drug Therapy by Identifying Gene Mutations in Lung Cancer With Histopathological Stained Image and Deep Learning Techniques

    Prediction of Target-Drug Therapy by Identifying Gene Mutations in Lung Cancer With Histopathological Stained Image and Deep Learning Techniques oleh Kaimei Huang, Kaimei Huang, Kaimei Huang, Zhiyi Mo, Wen Zhu, Wen Zhu, Wen Zhu, Bo Liao, Bo Liao, Bo Liao, Yachao Yang, Yachao Yang, Yachao Yang, Fang-Xiang Wu, Fang-Xiang Wu, Fang-Xiang Wu, Fang-Xiang Wu

    Diterbitkan 2021-04-01
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  6. 6
    Identifying Cancer-Specific circRNA–RBP Binding Sites Based on Deep Learning

    Identifying Cancer-Specific circRNA–RBP Binding Sites Based on Deep Learning oleh Zhengfeng Wang, Xiujuan Lei, Fang-Xiang Wu

    Diterbitkan 2019-11-01
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  7. 7
    DWNN-RLS: regularized least squares method for predicting circRNA-disease associations

    DWNN-RLS: regularized least squares method for predicting circRNA-disease associations oleh Cheng Yan, Jianxin Wang, Fang-Xiang Wu

    Diterbitkan 2018-12-01
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  8. 8
    Diagnosis of Autism Spectrum Disorder Based on Eigenvalues of Brain Networks

    Diagnosis of Autism Spectrum Disorder Based on Eigenvalues of Brain Networks oleh Sakib Mostafa, Lingkai Tang, Fang-Xiang Wu

    Diterbitkan 2019-01-01
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  9. 9
    Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC

    Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC oleh Jie Zhao, Xiujuan Lei, Fang-Xiang Wu

    Diterbitkan 2017-01-01
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  10. 10
    PreOBP_ML: Machine Learning Algorithms for Prediction of Optical Biosensor Parameters

    PreOBP_ML: Machine Learning Algorithms for Prediction of Optical Biosensor Parameters oleh Kawsar Ahmed, Francis M. Bui, Fang-Xiang Wu

    Diterbitkan 2023-05-01
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  11. 11
    Multi‐scale GAN with residual image learning for removing heterogeneous blur

    Multi‐scale GAN with residual image learning for removing heterogeneous blur oleh Rayyan Azam Khan, Yigang Luo, Fang‐Xiang Wu

    Diterbitkan 2022-07-01
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  12. 12
    PWCDA: Path Weighted Method for Predicting circRNA-Disease Associations

    PWCDA: Path Weighted Method for Predicting circRNA-Disease Associations oleh Xiujuan Lei, Zengqiang Fang, Luonan Chen, Fang-Xiang Wu

    Diterbitkan 2018-10-01
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  13. 13
    Protein complex detection based on flower pollination mechanism in multi-relation reconstructed dynamic protein networks

    Protein complex detection based on flower pollination mechanism in multi-relation reconstructed dynamic protein networks oleh Xiujuan Lei, Ming Fang, Ling Guo, Fang-Xiang Wu

    Diterbitkan 2019-03-01
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  14. 14
    PESM: predicting the essentiality of miRNAs based on gradient boosting machines and sequences

    PESM: predicting the essentiality of miRNAs based on gradient boosting machines and sequences oleh Cheng Yan, Fang-Xiang Wu, Jianxin Wang, Guihua Duan

    Diterbitkan 2020-03-01
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  15. 15
    iOPTICS-GSO for identifying protein complexes from dynamic PPI networks

    iOPTICS-GSO for identifying protein complexes from dynamic PPI networks oleh Xiujuan Lei, Huan Li, Aidong Zhang, Fang-Xiang Wu

    Diterbitkan 2017-12-01
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  16. 16
    Identifying cell types from single-cell data based on similarities and dissimilarities between cells

    Identifying cell types from single-cell data based on similarities and dissimilarities between cells oleh Yuanyuan Li, Ping Luo, Yi Lu, Fang-Xiang Wu

    Diterbitkan 2021-05-01
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  17. 17
    IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning

    IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning oleh Cheng Yan, Guihua Duan, Fang-Xiang Wu, Jianxin Wang

    Diterbitkan 2019-12-01
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  18. 18
    Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks

    Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks oleh Yuchen Zhang, Xiujuan Lei, Yi Pan, Fang-Xiang Wu

    Diterbitkan 2022-05-01
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  19. 19
    A Deep Neural Network for Cervical Cell Classification Based on Cytology Images

    A Deep Neural Network for Cervical Cell Classification Based on Cytology Images oleh Ming Fang, Xiujuan Lei, Bo Liao, Fang-Xiang Wu

    Diterbitkan 2022-01-01
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  20. 20
    Nonlinear-Model-Based Analysis Methods for Time-Course Gene Expression Data

    Nonlinear-Model-Based Analysis Methods for Time-Course Gene Expression Data oleh Li-Ping Tian, Li-Zhi Liu, Fang-Xiang Wu

    Diterbitkan 2014-01-01
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