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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 Liu
Published 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.
Keyphrases
  • machine learning
  • high resolution
  • deep learning