Powerful and robust non-parametric association testing for microbiome data via a zero-inflated quantile approach (ZINQ)

Powerful and robust non-parametric association testing for microbiome data via a zero-inflated quantile approach (ZINQ)

Abstract Background Identification of bacterial taxa associated with diseases, exposures, and other variables of interest offers a more comprehensive understanding of the role of microbes in many conditions. However, despite considerable research in statistical methods for association testing with m...

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Bibliographic Details
Main Authors: Wodan Ling, Ni Zhao, Anna M. Plantinga, Lenore J. Launer, Anthony A. Fodor, Katie A. Meyer, Michael C. Wu
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Microbiome
Subjects:
Zero-inflated quantile-based approach
Type I error control
Microbiome differential abundance analysis
Heterogeneity
Online Access:https://doi.org/10.1186/s40168-021-01129-3

Internet

https://doi.org/10.1186/s40168-021-01129-3

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