Feature selection and causal analysis for microbiome studies in the presence of confounding using standardization
E. Goren, C. Wang, Z. He, A. M. Sheflin, D. Chiniquy, J. E. Prenni, S. Tringe, D. P. Schachtman, P. Liu
This paper introduces a method to identify microbiome features affecting outcomes while controlling for confounding variables, showing improved accuracy in agricultural microbiome studies.
bioRxiv · Aug 9, 2020Microbiology