Abstract Number:
2953
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Poster
Participants:
Sithija Manage (1), Martin Wells (2), Y. Samuel Wang (3)
Institutions:
(1) Cornell University, Ithaca, NY, (2) Cornell University, N/A, (3) University of Washington, N/A
Co-Author(s):
First Author:
Presenting Author:
Abstract Text:
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|
Sponsors:
Biometrics Section
Tracks:
High Dimensional Regression
Can this be considered for alternate subtype?
No
Are you interested in volunteering to serve as a session chair?
No
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.
I understand