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BioinformaticsBioinformaticsPeer-reviewed journal article

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

Yi‐Juan HuiD, Glen A. SatteniD

PDFDOIPreprintCode

Abstract

SummaryThere are compelling reasons to test compositional hypotheses about microbiome data. We present here LDM-clr, an extension of our linear decomposition model (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, it 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 ImplementationLDM-clr has been added to the R package LDM, which is available on GitHub at https://github.com/yijuanhu/LDM. Contactyijuan.hu@emory.edu Supplementary informationSupplementary data are available at Bioinformatics online.

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Yi‐Juan Hu, Glen A. Satten·Bioinformatics·Apr 14, 2020· 98 citations