maaslin3

maaslin3 refines and extends generalized multivariate linear models for meta-omic association discovery.

Key Features:

• Association Discovery: Finds abundance and prevalence associations between microbiome meta-omics features and complex metadata in population-scale epidemiological studies.
• Multiple Analysis Methods: Supports multiple covariates, repeated measures, and ordered predictors.
• Customizable Analysis Options: Includes filtering, normalization, and transform options to customize analysis for specific studies.

Scientific Applications:

• Microbiome Epidemiology: Identifies associations between microbiome meta-omics features and metadata in population-scale studies.

Methodology:

Generalized multivariate linear models with support for abundance and prevalence associations, multiple covariates, repeated measures, and ordered predictors.