Modeling the temporal dynamics of the gut microbial community in adults and infants

Published in PLoS Computational Biology, 2019

Recommended citation: Shenhav, L., Furman, O., Briscoe, L., Thompson, M., Silverman, J. D., Mizrahi, I., & Halperin, E. (2019). Modeling the temporal dynamics of the gut microbial community in adults and infants. PLOS Computational Biology, 15(6), e1006960. https://doi.org/10.1371/journal.pcbi.1006960

Download paper here

MTV-LMM can identify time-dependent microbes (i.e., microbes whose abundance can be predicted based on the previous microbial composition) in longitudinal studies, which can then be used to analyze the trajectory of the microbiome over time.

Recommended citation: Shenhav, L., Furman, O., Briscoe, L., Thompson, M., Silverman, J. D., Mizrahi, I., & Halperin, E. (2019). Modeling the temporal dynamics of the gut microbial community in adults and infants. PLOS Computational Biology, 15(6), e1006960.