Assessing the Reproducibility of Microbiome Measurements Based on Concordance Correlation Coefficients.

ABSTRACT: Evaluating the reproducibility or agreement of microbiome measurements is often a crucial step to ensure rigorous downstream analyses in microbiome studies. In this paper, we address this need by developing adaptations of Lin's concordance correlation coefficient (CCC) tailored to microbiome studies. We introduce a general formulation of the new CCC measures upon the use of a distance function appropriately characterizing the discrepancy between microbiome compositional measurements. We thoroughly study the special cases that adopt Euclidean distance and Aitchison distance. Our proposals appropriately account for the unique features of microbiome compositional data, including high-dimensionality, dependency among individual relative abundances, and the presence of many zeros. We further in

SUBMITTER: Cui Y 

PROVIDER: S-EPMC8587529 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature