科研成果：
主持或参与项目：
[1] 深圳市高端人才启动项目（180万），主持，2018/01-2020/12；
[2] 国家自然科学基金青年科学基金项目（24万），主持，2018/01-2020/12；
[3] 国家统计局全国统计科学研究一般项目，主持，2017/09-2019/09；
[4] 国家自然科学基金数学天元青年基金项目（3万），主持，2016/01-2016/12
[5] 广东省自然科学基金博士科研启动项目（10万），主持，2016/06-2019/06；
[6] 深圳大学高水平大学建设科研项目（5万），主持，2016/01-2017/12；
[7] 深圳大学新引进教师科研启动项目（6万），主持，2015/06-2017/05；
[8] 国家自然科学面上项目，参与，2013/01-2016/12；
[9] 国家自然科学面上项目（5万），参与，2019/01-2022/12；
[10] 国家自然科学面上项目（12万），参与，2019/01-2022/12；
发表或投稿论文：
[23]. Yan Zhou, Liya Fu, You-Gan Wang and Zhuoran Yang. (2019). A robust and efficient method for the accelerated failure time model with clustered and censored data. (Submitted).
[22]. Yan Zhou, Li Zhang, Jinfeng Xu, Guochang Wang and Xiaodong Yan (2019). Encoding the category to select the feature genes for single-cell RNA-seq classification. (Submitted).
[21]. 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
[20]. Yan Zhou, Yichuan Zhao, Junhui Wang and Tiejun Tong, (2019). Discriminant Analysis and Normalization Methods for Next-generation Sequencing Data, in New Frontiers of Biostatistics and Bioinformatics. Springer. book chapter 18
[19]. 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.
[18]. Ziqi Chen, Yan Zhou* (2019). New Test Statistics for Hypothesis Testing of Parameters in Conditional Moment Restriction Models. Communications in Statistics Theory and Methods，48(10), 2521–2528
[17]. 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.
[16]. Yan Zhou, Jiadi Zhu. (2018). Methylation-level inferences and detection of differential methylation with MeDIP-seq data. PLoS ONE 13(8): e0201586. .
[15]. Liya Fu, Zhuoran Yang, Anle Long and Yan Zhou*. (2018). A quadratic inference function for accelerated failure time model with clustered and censored data. Communications in Statistics - Simulation and Computation, https://doi.org/10.1080/03610918.2019.1619763
[14]. Weihua Zhao, Yan Zhou*, Heng Lian. (2018). Time-varying Quantile Single-Index Model for Multivariate Responses. Computational Statistics & Data Analysis, 127: 32-49.
[13]. Junhua Zhang, Bingqing Lin, Yan Zhou, Jun Zhang. (2018). Dimension Reduction Regressions with Measurement Errors Subject to Additive Distortion. Journal of Statistical Computation and Simulation,
[12]. Yan Zhou, Liya Fu, and Baoxue Zhang. (2017), Two Nonparametric Methods for ChangePoint Detection in Distribution. Communications in Statistics Theory and Methods(IF: 0.3), 46(6):2801-2815.
[11]. Jun Zhang, Yan Zhou*, Bingqing Lin, Yao Yu. (2017), Estimation and hypothesis test on partial linear models with additive distortion measurement errors, Computational Statistics and Data Analysis(IF: 1.18), 112: 114-128.
[10]. Yan Zhou, Guochang Wang, Jun Zhang, Han Li. (2017), A Hypothesis Testing Based Method for Normalization and Differential Expression Analysis of RNA-Seq Data, PLos One(IF:3.06),12(1).
[9]. 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.
[8].Jun Zhang, Qian Chen, Bingqing Lin, Yan Zhou. (2017), On the single-index model estimate of the conditional density function: consistency and implementation, Journal of Statistical Planning and Inference (IF: 0.73), 187: 56-66.
[7]. Jun Zhang, Yan Zhou*, Xia Cui,Wangli Xu. (2017), Semiparametric Quantile Estimation for Varying Coe_cient Partially Linear Measurement Errors Models, Brazilian Journal of Probability and Statistics (IF: 0.42), 32( 3), 616–656
[6]. Yan Zhou, Liya Fu, Jun Zhang, Yongchang Hui. (2016), A Reliability Test of a Complex System Based on Empirical Likelihood, PLos One(IF: 3.06), 11(10)
[5]. Guochang Wang, Yan Zhou, Xiang-Nan Feng, Baoxue Zhang (2015), The hybrid method of FSIR and FSAVE for functional effective dimension reduction. Computational Statistics andData Analysis ( IF: 1.14) 91, 64-77
[4]. Yan Zhou, Bo Zhang, Ting Wang, Nan Lin and Baoxue Zhang. (2013) methylMnM Tutorial (methylMnM package), Bioconductor. [http://epigenome.wustl.edu/MnM/methylMnM.pdf]& [http://epigenome.wustl.edu/MnM/
[3]. Bo Zhang, Xiaoyun Xing, Jing Li, Rebecca F. Lowdon, Yan Zhou, Nan Lin, Bao Xue Zhang, Paul J.Goodfellow, Ting Wang. (2014) Comparative DNA methylome analysis of endometrial carcinoma reveals complex and distinct deregulation of cancer promoters and enhancers. BMC Genomics doi:10.1186/1471-2164-15-868 (SCI) ( IF: 4.04)(cited 32)
[2]. 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 (SCI) ( IF: 14.397)(cited 90)
[1]. Yan Zhou and Guochang Wang, (2010), A Goodness-of-fit Test Based on EmpiricalLikelihood and Application. Journal of Harbin University of Science and Technology, Vol. 15 No1. 87-91
