Feature selection and causal analysis for microbiome studies in the presence of confounding using standardization.
Emily GorenChong WangZhulin HeAmy M SheflinDawn ChiniquyJessica E PrenniSusannah TringeDaniel P SchachtmanPeng LiuPublished in: BMC bioinformatics (2021)
Standardization enables more accurate identification of individual microbiome features with an effect on the outcome of interest compared to other variable selection and estimation procedures when there is confounding by a categorical variable.