Microbial trend analysis for common dynamic trend, group comparison, and classification in longitudinal microbiome study.

ABSTRACT:

Background

The human microbiome is inherently dynamic and its dynamic nature plays a critical role in maintaining health and driving disease. With an increasing number of longitudinal microbiome studies, scientists are eager to learn the comprehensive characterization of microbial dynamics and their implications to the health and disease-related phenotypes. However, due to the challenging structure of longitudinal microbiome data, few analytic methods are available to characterize the microbial dynamics over time.

Results

We propose a microbial trend analysis (MTA) framework for the high-dimensional and phylogenetically-based longitudinal microbiome data. In particular, MTA can perform three tasks: 1) capture the common microbial dynamic trends for a group of subjects at the

SUBMITTER: Wang C 

PROVIDER: S-EPMC8442444 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature