A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type.
Gene-level metagenomic architectures across diseases yield high-resolution microbiome diagnostic indicators.
Leveraging vibration of effects analysis for robust discovery in observational biomedical data science.
Systematically assessing microbiome-disease associations identifies drivers of inconsistency in metagenomic research.
Functional response to a microbial synbiotic in the gastrointestinal system of children: a randomized clinical trial.
