BioinformaticsBioinformaticsPeer-reviewed journal article
Compositional analysis of microbiome data using the linear decomposition model (LDM)
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.
- assay: metagenomics
- research focus: differential expression
- research focus: benchmarking
- research focus: database / resource
- approach: statistical model
- Citations
- 9
- FWCI
- 0.80
- Field percentile
- top 33%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Testing hypotheses about the microbiome using the linear decomposition model (LDM)
Yi‐Juan Hu, Glen A. Satten·BioinformaticsPeer-reviewed·Apr 14, 2020
- mLDM: a new hierarchical Bayesian statistical model for sparse microbioal association discovery
Yuqing Yang, Ning Chen, Ting Chen·bioRxiv·Mar 7, 2016
- LOCOM: A logistic regression model for testing differential abundance in compositional microbiome data with false discovery rate control
Yingtian Hu, Glen A. Satten, Yi‐Juan Hu·Proceedings of the National Academy of SciencesPeer-reviewed·Jul 22, 2022
- Integrative analysis of relative abundance data and presence-absence data of the microbiome using the LDM
Zhengyi Zhu, Glen A. Satten, Yi‐Juan Hu·BioinformaticsPeer-reviewed·Mar 23, 2022
- A New Approach to Testing Mediation of the Microbiome using the LDM
Ye Yue, Yi‐Juan Hu·bioRxiv·Nov 12, 2021
- coda4microbiome: compositional data analysis for microbiome studies
M. L. Calle, A. Susin·bioRxiv·Jun 9, 2022