Compositional analysis of microbiome data using the linear decomposition model (LDM)

Bioinformatics. 2023 Nov 1;39(11):btad668. doi: 10.1093/bioinformatics/btad668.

Abstract

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.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Linear Models
  • Microbiota*
  • Research Design