协变量
微生物群
成对比较
航程(航空)
计算生物学
生物
计算机科学
统计
生物信息学
机器学习
人工智能
数学
材料科学
复合材料
作者
Ho-mu Lin,Shyamal Peddada
标识
DOI:10.1038/s41592-023-02092-7
摘要
Abstract Microbiome differential abundance analysis methods for two groups are well-established in the literature. However, many microbiome studies involve more than two groups, sometimes even ordered groups such as stages of a disease, and require different types of comparison. Standard pairwise comparisons are inefficient in terms of power and false discovery rates. In this Article, we propose a general framework, ANCOM-BC2, for performing a wide range of multigroup analyses with covariate adjustments and repeated measures. We illustrate our methodology through two real datasets. The first example explores the effects of aridity on the soil microbiome, and the second example investigates the effects of surgical interventions on the microbiome of patients with inflammatory bowel disease.
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