报告人：江源
报告地点：数学与统计学院415报告厅
报告时间：2024年12月11日星期三10:00-11:00
报告摘要：
To classify biological roles of different species in an ecological system, modern studies collect longitudinal and compositional counts of DNA sequences of taxonomically diagnostic genetic markers to measure the abundance of species over time. The major challenges of conducting this analysis are twofold: how to accommodate the complex dependence in this data type and how to model the longitudinal trajectories of the species' abundances. In this paper, we propose a novel method named COMPARING to cluster longitudinal profiles for compositional count data to address these challenges. In COMPARING, generalized estimating equation is used to account for both the compositional and longitudinal dependence structures, nonparametric B-spline approximation is used to model the longitudinal curves, and a pairwise-distance penalization is used to identify subgroups with similar longitudinal patterns. We establish the convergence rate of the estimated curves and conclude that the true subgroups can be correctly identified with a high probability. We also conduct simulation studies to show the advantage of COMPARING over its competitors in clustering longitudinal trajectories from compositional count data. Finally, we apply COMPARING to study the co-existence of blood-borne parasites in African buffalo and demonstrate how the method successfully detects biologically meaningful subgroups of parasites for competition-colonization trade-off.
主讲人简介：
Dr. Yuan Jiang is currently an Associate Professor and Co-Director of Graduate Studies in the Department of Statistics at Oregon State University. He received his B.S. in Mathematics from USTC in 2004 and PhD in Statistics from UW-Madison in 2008. He had a postdoctoral training at Yale University and joined Oregon State University in 2011. Dr. Jiang’s research interests include microbiome data analysis, data integration, variable selection, multiple testing, network analysis, and statistical genetics. He has published more than 40 papers on statistical journals, including JASA, Biometrika, Biometrics, JCGS, etc. Dr. Jiang’s research has been supported by multiple funding agencies, such as NSF, NIH, and Simons Foundation. He has also served on editorial board for multiple journals, such as Mathematics and Frontiers in Genetics.
