Friday, February 10, 2023 11am to 12pm
Sciences Building (SCI), 1.210
Stream Available
New methods for microbiome data integration
Microbiome data sets, which capture the abundances of bacteria and other microorganisms in the human body, represent a key source of “big data” in understanding human health. In this talk, I will discuss the unique structure of microbiome data and the challenges in the analysis of this high-dimensional data type. I will then discuss new statistical methods for integrating additional data sources in microbiome data analysis. I will first discuss an approach to improve the visualization of microbiome data by adjusting for covariates such as batch or site in creating an ordination plot. I will then discuss an approach for integrating microbiome profiles with high-dimensional covariates. This method, which entails simultaneous graph and covariate selection, can be used to learn a network among microbiome features and identify covariates, such as metabolite levels, that influence microbial abundances.
Sciences Building (SCI), 1.210
800 W. Campbell Road, Richardson, Texas 75080-3021
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