Simplified methods for variance estimation in microbiome abundance count data analysis

Simplified methods for variance estimation in microbiome abundance count data analysis

The complex nature of microbiome data has made the differential abundance analysis challenging. Microbiome abundance counts are often skewed to the right and heteroscedastic (also known as overdispersion), potentially leading to incorrect inferences if not properly addressed. In this paper, we propo...

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Bibliographic Details
Main Authors: Yiming Shi, Lili Liu, Jun Chen, Kristine M. Wylie, Todd N. Wylie, Molly J. Stout, Chan Wang, Haixiang Zhang, Ya-Chen T. Shih, Xiaoyi Xu, Ai Zhang, Sung Hee Park, Hongmei Jiang, Lei Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-10-01
Series:Frontiers in Genetics
Subjects:
microbiome abundance count
robust variance estimation
heteroscedasticity
sandwich estimates
bootstrap
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2024.1458851/full

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https://www.frontiersin.org/articles/10.3389/fgene.2024.1458851/full

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