A maximum-type microbial differential abundance test with application to high-dimensional microbiome data analyses.

ABSTRACT:

Background

High-throughput metagenomic sequencing technologies have shown prominent advantages over traditional pathogen detection methods, bringing great potential in clinical pathogen diagnosis and treatment of infectious diseases. Nevertheless, how to accurately detect the difference in microbiome profiles between treatment or disease conditions remains computationally challenging.

Results

In this study, we propose a novel test for identifying the difference between two high-dimensional microbiome abundance data matrices based on the centered log-ratio transformation of the microbiome compositions. The test p-value can be calculated directly with a closed-form solution from the derived asymptotic null distribution. We also investigate the asymptotic statistical power agai

SUBMITTER: Li Z 

PROVIDER: S-EPMC9650337 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature