Inference of microbial covariation networks using copula models with mixture margins

HIGHLIGHTS

• who: Rebecca A. Deek and colleagues from the Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA have published the paper: Inference of Microbial Covariation Networks Using Copula Models with Mixture Margins, in the Journal: (JOURNAL)
• what: The authors propose using copula models with mixed zerobeta margins for the estimation of taxon-taxon covariations using data of normalized microbial relative abundances. The authors demonstrate that the method can be used to build biologically meaningful microbial networks based on a data set from the American Gut Project. The authors propose . . .
  

   

  

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