"Bayesian Hierarchical Compositional Models for Analysing Longitudinal ..."

Irene Creus-Martí, Andrés Moya, Francisco-José Santonja (2022)

> Home

Details and statistics

DOI: 10.1155/2022/4907527

access: open

type: Journal Article

metadata version: 2025-06-23

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/complexity/Creus-MartiMS22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/complexity/Creus-MartiMS22
Irene Creus-Martí, Andrés Moya, Francisco-José Santonja:
Bayesian Hierarchical Compositional Models for Analysing Longitudinal Abundance Data from Microbiome Studies. Complex. 2022: 4907527:1-4907527:16 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.