TCVS: tree-guided compositional variable selection analysis of microbiome data.

ABSTRACT:

Motivation

Studies of microbial communities, represented by the relative abundances of taxa at various taxonomic levels, have underscored the significance of microbiota in numerous aspects of human health and disease. A pivotal challenge in microbiome research lies in pinpointing microbial taxa associated with disease outcomes, which could play crucial roles in prevention, detection, and treatment of various health conditions. Alongside these relative abundance data, taxonomic information sometimes offers a unique lens to explore the impact of shared evolutionary histories on patterns of microbial abundance.

Results

In pursuit of this goal, we utilize the tree structure to more flexibly identify taxa associated with disease outcomes. To enhance the accuracy of our selection

SUBMITTER: Mao Y 

PROVIDER: S-EPMC12629236 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature