Comet Calendar

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. 

 

 

Location

Sciences Building (SCI), 1.210
800 W. Campbell Road, Richardson, Texas 75080-3021

Natural Sciences & Mathematics
Chuan-Fa Tang
Email

UTD strives to create inclusive and accessible events in accordance with the Americans with Disabilities Act (ADA). If you require an accommodation to fully participate in this event, please contact the event coordinator (listed above) at least 10 business days prior to the event. If you have any additional questions, please email ADACoordinator@utdallas.edu and the AccessAbility Resource Center at accessability@utdallas.edu.

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