Testing for differential abundance in compositional counts data, with application to microbiome studies

DOI10.1214/22-AOAS1607zbMath1498.62194arXiv1904.08937OpenAlexW2938685902MaRDI QIDQ2080778

Ruth Heller, Amnon Amir, Barak Brill

Publication date: 10 October 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.08937

zbMATH Keywords

normalizationrarefactionnonparametric testsanalysis of compositioncompositional bias

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15)

Related Items (1)

Identification of microbial features in multivariate regression under false discovery rate control

Uses Software

• DADA2

Cites Work

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• Brownian distance covariance
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• Tests for Differentiation in Gene Expression Using a Data-Driven Order or Weights for Hypotheses
• A consistent multivariate test of association based on ranks of distances
• Design of observational studies

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