MbDriver: identifying driver microbes in microbial communities based on time-series microbiome data.

ABSTRACT: Alterations in human microbial communities are intricately linked to the onset and progression of diseases. Identifying the key microbes driving these community changes is crucial, as they may serve as valuable biomarkers for disease prevention, diagnosis, and treatment. However, there remains a need for further research to develop effective methods for addressing this critical task. This is primarily because defining the driver microbe requires consideration not only of each microbe's individual contributions but also their interactions. This paper introduces a novel framework, called mbDriver, for identifying driver microbes based on microbiome abundance data collected at discrete time points. mbDriver comprises three main components: (i) data preprocessing of time-series abundance data

SUBMITTER: Tan X 

PROVIDER: S-EPMC11551971 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature