A new approach to describe the taxonomic structure of microbiome and its application to assess the relationship between microbial niches.

ABSTRACT:

Background

Data from microbiomes from multiple niches is often collected, but methods to analyse these often ignore associations between niches. One interesting case is that of the oral microbiome. Its composition is receiving increasing attention due to reports on its associations with general health. While the oral cavity includes different niches, multi-niche microbiome data analysis is conducted using a single niche at a time and, therefore, ignores other niches that could act as confounding variables. Understanding the interaction between niches would assist interpretation of the results, and help improve our understanding of multi-niche microbiomes.

Methods

In this study, we used a machine learning technique called latent Dirichlet allocation (LDA) on two microbiome da

SUBMITTER: Pappalardo VY 

PROVIDER: S-EPMC10840258 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature