Compositional analysis of microbiome data using the linear decomposition model (LDM).
bioRxiv
; 2023 May 29.
Article
en En
| MEDLINE
| ID: mdl-37398068
Summary: There are compelling reasons to test compositional hypotheses about microbiome data. We present here LDM-clr, an extension of our linear decomposition model (LDM) approach to allow fitting linear models to centered-log-ratio-transformed taxa count data. As LDM-clr is implemented within the existing LDM program, it enjoys all the features supported by LDM, including a compositional analysis of differential abundance at both the taxon and community levels, while allowing for a wide range of covariates and study designs for either association or mediation analysis. Availability and Implementation: LDM-clr has been added to the R package LDM, which is available on GitHub at https://github.com/yijuanhu/LDM . Contact: yijuan.hu@emory.edu. Supplementary information: Supplementary data are available at Bioinformatics online.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
BioRxiv
Año:
2023
Tipo del documento:
Article
Pais de publicación:
Estados Unidos