coda4microbiome: compositional data analysis for microbiome cross-sectional and longitudinal studies.

Maria Luz Calle Meritxell Pujolassos Antonio Susin

Published in: BMC bioinformatics (2023)

coda4microbiome is a new algorithm for identification of microbial signatures in both, cross-sectional and longitudinal studies. The algorithm is implemented as an R package that is available at CRAN ( https://cran.r-project.org/web/packages/coda4microbiome/ ) and is accompanied with a vignette with a detailed description of the functions. The website of the project contains several tutorials: https://malucalle.github.io/coda4microbiome/.

Keyphrases

cross sectional
data analysis
machine learning
quality improvement
deep learning
gene expression
case control
dna methylation