Ngā hua rapu - Xia, Liang-yong

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  1. 1
    Identification of Potential Driver Genes and Pathways Based on Transcriptomics Data in Alzheimer's Disease

    Identification of Potential Driver Genes and Pathways Based on Transcriptomics Data in Alzheimer's Disease mā Xia, Liang-Yong, Tang, Lihong, Huang, Hui, Luo, Jie

    I whakaputaina 2022
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  2. 2
    A new semi-supervised learning model combined with Cox and SP-AFT models in cancer survival analysis

    A new semi-supervised learning model combined with Cox and SP-AFT models in cancer survival analysis mā Chai, Hua, Li, Zi-na, Meng, De-yu, Xia, Liang-yong, Liang, Yong

    I whakaputaina 2017
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  3. 3
    Improved Classification of Blood-Brain-Barrier Drugs Using Deep Learning

    Improved Classification of Blood-Brain-Barrier Drugs Using Deep Learning mā Miao, Rui, Xia, Liang-Yong, Chen, Hao-Heng, Huang, Hai-Hui, Liang, Yong

    I whakaputaina 2019
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  4. 4
    Descriptor Selection via Log-Sum Regularization for the Biological Activities of Chemical Structure

    Descriptor Selection via Log-Sum Regularization for the Biological Activities of Chemical Structure mā Xia, Liang-Yong, Wang, Yu-Wei, Meng, De-Yu, Yao, Xiao-Jun, Chai, Hua, Liang, Yong

    I whakaputaina 2017
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  5. 5
    Meta-Analysis Based on Nonconvex Regularization

    Meta-Analysis Based on Nonconvex Regularization mā Zhang, Hui, Li, Shou-Jiang, Zhang, Hai, Yang, Zi-Yi, Ren, Yan-Qiong, Xia, Liang-Yong, Liang, Yong

    I whakaputaina 2020
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