HIGHLIGHTS
- who: I. Creus Martı́ and collaborators from the Instituto de Biologı́a Integrativa de Sistemas (I Sysbio), Universitat de València-CSIC, Valencia, Spain have published the research: Bayesian Hierarchical Compositional Models for Analysing Longitudinal Abundance Data from Microbiome Studies, in the Journal: Complexity of 30/08/2022
- what: The authors develop a Bayesian model for microbiota longitudinal data based on Dirichlet distribution with time-varying parameters that take into account the compositional paradigm and consider principal balances. The work presented specified that the correlations between compositional components are spurious. After this, the authors examine . . .
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