Rezultati - 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 od Xia, Liang-Yong, Tang, Lihong, Huang, Hui, Luo, Jie

    Izdano 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 od Chai, Hua, Li, Zi-na, Meng, De-yu, Xia, Liang-yong, Liang, Yong

    Izdano 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 od Miao, Rui, Xia, Liang-Yong, Chen, Hao-Heng, Huang, Hai-Hui, Liang, Yong

    Izdano 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 od Xia, Liang-Yong, Wang, Yu-Wei, Meng, De-Yu, Yao, Xiao-Jun, Chai, Hua, Liang, Yong

    Izdano 2017
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  5. 5
    Meta-Analysis Based on Nonconvex Regularization

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

    Izdano 2020
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