Search Results - "Pu, Xiangke"

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  1. 1

    High-dimensional hepatopath data analysis by machine learning for predicting HBV-related fibrosis by Pu, Xiangke, Deng, Danni, Chu, Chaoyi, Zhou, Tianle, Liu, Jianhong

    Published in Scientific reports (03-03-2021)
    “…Chronic HBV infection, the main cause of liver cirrhosis and hepatocellular carcinoma, has become a global health concern. Machine learning algorithms are…”
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    Journal Article
  2. 2
  3. 3

    Parameter Estimation in Stratified Cluster Sampling under Randomized Response Models for Sensitive Question Survey by Pu, Xiangke, Gao, Ge, Fan, Yubo, Wang, Mian

    Published in PloS one (17-02-2016)
    “…Randomized response is a research method to get accurate answers to sensitive questions in structured sample survey. Simple random sampling is widely used in…”
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    Journal Article
  4. 4

    Sample Size Determination for the Polychotomous Randomized Response Model for Sensitive Questions in a Stratified Two-Stage Sampling Survey by Jin, Zongda, Yu, Bo, Pu, Xiangke, Gao, Ge

    Published in Journal of Applied Mathematics (01-01-2014)
    “…Methods of finding the minimum value and the Lagrange function were applied to deduce the formulae for the optimum sample sizes for polychotomous randomized…”
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    Journal Article
  5. 5

    Impaired plasma lipid profiles in acute hepatitis by Luo, Libo, Pu, Xiangke, Wang, Yongzhong, Xu, Ning

    Published in Lipids in health and disease (23-01-2010)
    “…The present study examined plasma lipid profiles in thirty patients suffered from acute viral hepatitis. Patients' blood samples were collected at both the…”
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  6. 6

    Poly-linker primer system for detection of single nucleotide polymorphisms and its application in genotyping hepatitis B virus by Wang, Yongzhong, Xue, Bo-Yu, Liu, Longgen, Zhu, Zhen, Xu, Xin, Zhang, Hongyu, Pu, Xiangke, Liu, Xiaoqin

    Published in Acta biochimica et biophysica Sinica (01-02-2015)
    “…Single nucleotide polymorphisms (SNPs) and single-base mismatch in genome are closely associated with disease development, progress, treatment, and prognosis…”
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  7. 7

    Parameter Estimation in Stratified Cluster Sampling under Randomized Response Models for Sensitive Question Survey: e0148267 by Pu, Xiangke, Gao, Ge, Fan, Yubo, Wang, Mian

    Published in PloS one (01-02-2016)
    “…Randomized response is a research method to get accurate answers to sensitive questions in structured sample survey. Simple random sampling is widely used in…”
    Get full text
    Journal Article