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Updated: Jul 11, 2025

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
Published on: May 16, 2022
Compositional analysis of microbiome data using the linear decomposition model (LDM)
1Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, United States.
Summary:
There are compelling reasons to test compositional hypotheses about microbiome data. We present here linear decomposition model-centered log ratio (LDM-clr), an extension of our LDM approach to allow fitting linear models to centered-log-ratio-transformed taxa count data. As LDM-clr is implemented within the existing LDM program, this extension enjoys all the features supported by LDM, including a compositional analysis of differential abundance at both the taxon and community levels, while allowing for a wide range of covariates and study designs for either association or mediation analysis.
Availability And Implementation:
LDM-clr has been added to the R package LDM, which is available on GitHub at https://github.com/yijuanhu/LDM.

