Frontiers in Biostatistics Seminar

Wednesday March 29, 2023
1:00PM Eastern Time

Pixu Shi, PhD
Assistant Professor of Biostatistics & Bioinformatics
Division of Integrative Genomics
Department of Biostatistics & Bioinformatics
Duke University School of Medicine

Abstract:
The analysis of longitudinal microbiome is crucial to the understanding of how microbiome changes over time. It often requires careful maneuver of high dimensional microbial features, missing samples and varying time points across subjects. Longitudinal microbiome data can often be formatted into a high-dimensional order-3 tensor with three modes representing the subject, time, and bacteria respectively. In this talk, we present functional tensor SVD, a dimension reduction tool that can uncover sub-population structures in subjects, compress high-dimensional features into low-dimensional trajectories, and extract shared temporal patterns among features, all without imputation of missing samples or rounding of time points. We will demonstrate the robust performance of our method through simulations and multiple case studies.