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[4-17] 学术报告:Multivariate statistical methods in quantitative genetics
  发布日期:2017-04-12  |  来源:动物进化与系统学院重点实验室  |      

  报告题目:Multivariate statistical methods in quantitative genetics   

  报告人:Dr. Zitong Li   

  报告时间:2017417日上午10点      

  报告地点:E112   

  联系人:郭宝成(64807933 

  报告人简介:      

  Dr. Zitong Li is a postdoc of Department of Biosciences, University of Helsinki. He got his PhD degree from Department of Mathematics and Statistics, University in Helsinki. His research mainly focus on developing and applying multivariate and high dimensional statistical methods in various quantitative genetics topics including quantitative trait locus mapping, genome wide association mapping studies, and genomic selection.   

  代表论著:   

  Li Z, Guo B, Shikano T, Calboli F, Yang J, and Merilä J (2017) Deciphering the genomic architecture of the stickleback brain with a novel multi-locus gene-mapping approach. Molecular Ecology 26:1557-1575.    

  Li Z, and Sillanpää MJ (2015) Dynamic quantitative trait analysis of plant phenomic data. Trends in Plant Science, 20, 822-33.    

  Li Z, and Sillanpää MJ (2013) A Bayesian non-parametric approach for mapping dynamic quantitative traits. Genetics 194: 997-1016.    

  Li Z, and Sillanpää MJ (2012) Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection. Theoretical and Applied Genetics 125: 419-435.    

  Li Z, and Sillanpää MJ (2012) Estimation of quantitative traits locus effects including epistasis by variational Bayes algorithms. Genetics 190: 231-249. 

 

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