A Survey of Statistical Methods for Microbiome Data Analysis

A Survey of Statistical Methods for Microbiome Data Analysis

In the last decade, numerous statistical methods have been developed for analyzing microbiome data generated from high-throughput next-generation sequencing technology. Microbiome data are typically characterized by zero inflation, overdispersion, high dimensionality, and sample heterogeneity. Three...

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Bibliographic Details
Main Authors: Kevin C. Lutz, Shuang Jiang, Michael L. Neugent, Nicole J. De Nisco, Xiaowei Zhan, Qiwei Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
microbiome data
metagenomics data
differential abundance analysis
integrative analysis
network analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fams.2022.884810/full

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https://www.frontiersin.org/articles/10.3389/fams.2022.884810/full

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