Linear and nonlinear correlation estimators unveil undescribed taxa interactions in microbiome data

Abstract

Here, the authors present Sparse Estimation of Correlations among Microbiomes (SECOM), a tool devised to characterize both linear and nonlinear relationships in microbiome data. When applied to human skin and infant gut microbiome data, SECOM is able to retrieve taxa interactions undescribed by previous methods.