Cronos: A Machine Learning Pipeline for Description and Predictive Modeling of Microbial Communities Over Time.

ABSTRACT: Microbial time-series analysis, typically, examines the abundances of individual taxa over time and attempts to assign etiology to observed patterns. This approach assumes homogeneous groups in terms of profiles and response to external effectors. These assumptions are not always fulfilled, especially in complex natural systems, like the microbiome of the human gut. It is actually established that humans with otherwise the same demographic or dietary backgrounds can have distinct microbial profiles. We suggest an alternative approach to the analysis of microbial time-series, based on the following premises: 1) microbial communities are organized in distinct clusters of similar composition at any time point, 2) these intrinsic subsets of communities could have different responses to the sam

SUBMITTER: Litos A 

PROVIDER: S-EPMC9580867 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature