Zhou Yan
  • Educational level:

  • Professional titles: Associate Professor

  • Telephone:075526534582

  • Email:zhouy1016@szu.edu.cn

  • Address:Room 416,Huixing Building

Educational level Professional titles Associate Professor
Professional titles 075526534582 Email zhouy1016@szu.edu.cn
Address Room 416,Huixing Building Personal Profile
Educational experience Work experience
Research Field Biostatistics, Machine Learning, Deep Learning, Medical Statistics Honors obtained
Academic Programs Scientific research [10]. Liya Fu, Zhuoran Yang, Yan Zhou* and You-Gan Wang (2021). An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data. Lifetime Data Analysis, Accept.
[9]. Yan Zhou, Bin Yang, Junhui, Wang, JiaDi Zhu* and Guoliang, Tian*. (2021). A scaling-free minimum enclosing ball method to detect differentially expressed genes for RNA-seq data. BMC Genomics, 22:479.
[8]. Jun Zhang, Bingqing Lin and Yan Zhou* (2021). Kernel density estimation for partial linear multivariate responses models. Journal of Multivariate Analysis, 185(104768).
[7]. Yan Zhou, Li Zhang, Jinfeng Xu, Jun Zhang and Xiaodong Yan (2021). Encoding the category to select the feature genes for single-cell RNA-seq classification. Statistics in Medicine, DOI: 10.1002/sim.9015
[6]. Jiaqi Liu, Hengqiang Zhao, Yan Zhou (second author),  ….  Jianzhong Su. (2021), Genome-wide cell-free DNA methylation analyses improve accuracy of non-invasive diagnostic imaging for early-stage breast cancer. Molecular Cancer. https://doi.org/10.1186/s12943-021-01330-w (SCI) (IF: 27).    
[5]. Liya Fu, Zhuoran Yang, Mingtao Zhao and Yan Zhou*. (2019). Efficient parameter estimation for multivariate accelerated failure time model via the quadratic inference functions method. Random Matrices: Theory and Applications, 8(4): 1950013
[4]. Yan Zhou, Jiadi Zhu, Tiejun Tong, Junhui Wang and Jun Zhang. (2019). A statistical normalization method and differential expression analysis for RNA-seq data between different species. BMC Bioinformatics (IF: 2.3), 20:163.
[3]. Yan Zhou, Baoxue Zhang, Tiejun Tong and Xiang Wan. (2018). Classifying next generation sequencing data using a zero-infated Poisson model, Bioinformatics (IF: 7.3), 34(8), 1329–1335.
[2]. Yan Zhou, Baoxue Zhang, Gaorong Li, Tiejun Tong and XiangWan. (2017), GD-RDA: A new regularized discriminant analysis for high dimensional data. Journal of Computational Biology(IF: 1.537), 24: 1-13.  
[1]. Bo Zhang, Yan Zhou (Co-first author), Nan Lin ....Baoxue Zhang and Ting Wang. (2013), Functional DNA methylation differences between tissues, cell types, and across individuals discovered using the M&M algorithm. Genome Research. 23:1522õ1540. 10.1101/gr.156539.113

Personal Profile

Zhou Yan

Educational experience

Work experience

Research Field

  • Biostatistics, Machine Learning, Deep Learning, Medical Statistics

Honors obtained

Academic Programs

Scientific research

  • [10]. Liya Fu, Zhuoran Yang, Yan Zhou* and You-Gan Wang (2021). An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data. Lifetime Data Analysis, Accept. [9]. Yan Zhou, Bin Yang, Junhui, Wang, JiaDi Zhu* and Guoliang, Tian*. (2021). A scaling-free minimum enclosing ball method to detect differentially expressed genes for RNA-seq data. BMC Genomics, 22:479. [8]. Jun Zhang, Bingqing Lin and Yan Zhou* (2021). Kernel density estimation for partial linear multivariate responses models. Journal of Multivariate Analysis, 185(104768). [7]. Yan Zhou, Li Zhang, Jinfeng Xu, Jun Zhang and Xiaodong Yan (2021). Encoding the category to select the feature genes for single-cell RNA-seq classification. Statistics in Medicine, DOI: 10.1002/sim.9015 [6]. Jiaqi Liu, Hengqiang Zhao, Yan Zhou (second author), …. Jianzhong Su. (2021), Genome-wide cell-free DNA methylation analyses improve accuracy of non-invasive diagnostic imaging for early-stage breast cancer. Molecular Cancer. https://doi.org/10.1186/s12943-021-01330-w (SCI) (IF: 27). [5]. Liya Fu, Zhuoran Yang, Mingtao Zhao and Yan Zhou*. (2019). Efficient parameter estimation for multivariate accelerated failure time model via the quadratic inference functions method. Random Matrices: Theory and Applications, 8(4): 1950013 [4]. Yan Zhou, Jiadi Zhu, Tiejun Tong, Junhui Wang and Jun Zhang. (2019). A statistical normalization method and differential expression analysis for RNA-seq data between different species. BMC Bioinformatics (IF: 2.3), 20:163. [3]. Yan Zhou, Baoxue Zhang, Tiejun Tong and Xiang Wan. (2018). Classifying next generation sequencing data using a zero-infated Poisson model, Bioinformatics (IF: 7.3), 34(8), 1329–1335. [2]. Yan Zhou, Baoxue Zhang, Gaorong Li, Tiejun Tong and XiangWan. (2017), GD-RDA: A new regularized discriminant analysis for high dimensional data. Journal of Computational Biology(IF: 1.537), 24: 1-13. [1]. Bo Zhang, Yan Zhou (Co-first author), Nan Lin ....Baoxue Zhang and Ting Wang. (2013), Functional DNA methylation differences between tissues, cell types, and across individuals discovered using the M&M algorithm. Genome Research. 23:1522õ1540. 10.1101/gr.156539.113
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