报告题目：Multivariate statistical methods in quantitative genetics
报告人：Dr. Zitong Li
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.
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.