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

HIGHLIGHTS

• who: Huang Lin from the (UNIVERSITY) have published the research: Linear and nonlinear correlation estimators unveil undescribed taxa interactions in microbiome data, in the Journal: (JOURNAL) of 28/03/2022
• what: The authors develop a methodology called Sparse Estimation of Correlations among Microbiomes (SECOM) for estimating linear and nonlinear relationships among microbes while maintaining the sparsity. Using SECOM, for the first time in the literature, the authors characterize temporal changes in correlations among bacterial families during a baby's first year after birth. Performance of SECOM using simulated data Using simulated data, in this section . . .
  

   

  

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