ArticlePloS one2023
Simple and flexible sign and rank-based methods for testing for differential abundance in microbiome studies.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- MaAsLin 3: refining and extending generalized multivariable linear models for meta-omic association discovery.Nature methods · 2026Article
- A realistic benchmark for differential abundance testing and confounder adjustment in human microbiome studies.Genome biology · 2024Article
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2 authors.
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Abstract
Microbiome data obtained with amplicon sequencing are considered as compositional data. It has been argued that these data can be analysed after appropriate transformation to log-ratios, but ratios and logarithms cause problems with the many zeroes in typical microbiome experiments. We demonstrate that some well chosen sign and rank transformations also allow for valid inference with compositional data, and we show how logistic regression and probabilistic index models can be used for testing for differential abundance, while inheriting the flexibility of a statistical modelling framework. The results of a simulation study demonstrate that the new methods perform better than most other methods, and that it is comparable with ANCOM-BC. These methods are implemented in an R-package 'signtrans' and can be installed from Github (https://github.com/lucp9827/signtrans).
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