Determining multivariable association between various meta'omic features using MaAslin2: Galaxy training network

MaAsLin2 is comprehensive R package for efficiently determining multivariable association between phenotypes, environments, exposures, covariates and microbial meta’omic features. MaAsLin2 relies on general linear models to accommodate most modern epidemiological study designs, including cross-sectional and longitudinal, and offers a variety of data exploration, normalization, and transformation methods. https://huttenhower.sph.harvard.edu/maaslin/MaAsLin2是一款综合性R包（R package），用于高效解析表型（phenotypes）、环境因素、暴露因素、协变量（covariates）与微生物宏组学特征（meta’omic features）间的多变量关联。MaAsLin2依托广义线性模型（general linear models），可适配绝大多数当代流行病学研究设计，包括横断面研究（cross-sectional）与纵向研究（longitudinal），并提供多样化的数据探索、标准化（normalization）与数据转换（transformation）方法。 https://huttenhower.sph.harvard.edu/maaslin/