ArticleFrontiers in applied mathematics and statistics2022
A Survey of Statistical Methods for Microbiome Data Analysis.
Article in Frontiers in applied mathematics and statistics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- The Biotechnological Applications of Marine Bacteria.Biology · 2026Review
- High-resolution metagenomic characterization of gut microbiota composition and functional pathways in irritable bowel syndrome.Scientific reports · 2026Article
- From forest to farm: the impact of a broad spectrum of lifestyles on the porcine gut microbiota.Current research in microbial sciences · 2026Article
- A realistic simulation-based benchmark of microbiome normalization in sample stratification and taxa-level analysis.Frontiers in bioinformatics · 2026Article
- Article
- Artificial Intelligence-Driven Food Safety: Decoding Gut Microbiota-Mediated Health Effects of Non-Microbial Contaminants.Foods (Basel, Switzerland) · 2025Review
- mbSparse: an autoencoder-based imputation method to address sparsity in microbiome data.Gut microbes · 2025Article
- Computational Metagenomics: State of the Art.International journal of molecular sciences · 2025Review
- Group-wise normalization in differential abundance analysis of microbiome samples.BMC bioinformatics · 2025Article
- Understanding crosstalk between the gut and liver microbiome: pathogenesis to therapeutic approaches in liver cancer.Cancer cell international · 2025Review
- From air to insight: the evolution of airborne DNA sequencing technologies.Microbiology (Reading, England) · 2025Review
- Microspatial Heterogeneities and the Absence of Postmortem Contamination in Alzheimer's Disease Brain Microbiota: An Alzheimer's Pathobiome Initiative (AlzPI) Study.Microorganisms · 2025Article
- A Generalized Bayesian Stochastic Block Model for Microbiome Community Detection.Statistics in medicine · 2025Article
- CODARFE: Unlocking the prediction of continuous environmental variables based on microbiome.GigaScience · 2025Article
- zAMP and zAMPExplorer: reproducible scalable amplicon-based metagenomics analysis and visualization.Bioinformatics advances · 2025Article
- A comprehensive comparison of web-based tools for amplicon-metagenomic analysis.Frontiers in microbiology · 2025Review
- UniCor and UniCorP: a novel metric and hierarchical feature selection algorithm for microbial community analysis.ISME communications · 2025Article
- Associations Between Walking Speed and Gut Microbiome Composition in Older Men From the MrOS Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- Advancements in precision medicine: multi-omics approach for tailored metformin treatment in type 2 diabetes.Frontiers in pharmacology · 2024Review
- Methodological Considerations in Longitudinal Analyses of Microbiome Data: A Comprehensive Review.Genes · 2023Review
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Authors and funding
6 authors.
Funding
Abstract
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 popular areas of interest in microbiome research requiring statistical methods that can account for the characterizations of microbiome data include detecting differentially abundant taxa across phenotype groups, identifying associations between the microbiome and covariates, and constructing microbiome networks to characterize ecological associations of microbes. These three areas are referred to as differential abundance analysis, integrative analysis, and network analysis, respectively. In this review, we highlight available statistical methods for differential abundance analysis, integrative analysis, and network analysis that have greatly advanced microbiome research. In addition, we discuss each method's motivation, modeling framework, and application.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.