20 Infant Gut Microbiome: Time-Adaptive Causal Network Reconstruction

Martin Wells Co-Author
Cornell University
 
Y. Samuel Wang Co-Author
University of Washington
 
Sithija Manage First Author
Texas A&M University
 
Sithija Manage Presenting Author
Texas A&M University
 
Monday, Aug 5: 2:00 PM - 3:50 PM
2953 
Contributed Posters 
Oregon Convention Center 
The composition of the intestinal microbiome has a significant impact on children's health, starting from the prenatal period. Transformations in the microbiome during infancy have been associated with the development of chronic illnesses such as asthma and inflammatory bowel disease. However, the scientific investigation of the gut microbiome is complicated by certain aspects of the data such as compositionality and zero-inflation. Furthermore, causal discovery and causal inference in this space, without resorting to transformations of the data that alter mathematical properties in the underlying geometry is a developing area of research. In this work we develop novel methodological and statistically sound tools that recover causal relations and networks among bacteria in the developing gut microbiome without distorting the underlying geometry and expand this framework to allow for variation over time

Keywords

Compositional Data

Longitudinal Data

Zero-Inflation

Aitchison Geometry

Graphical Models 

Abstracts


Main Sponsor

Biometrics Section