Compositional transformations can reasonably introduce phenotype-associated values into sparse features

ABSTRACT Gihawi et al. (mBio 14:e01607-23, 2023, https://doi.org/10.1128/mbio.01607-23) argued that the analysis of tumor-associated microbiome data by Poore et al. (Nature 579:567-574, 2020, https://doi.org/10.1038/s41586-020-2095-1) is invalid because features that were originally very sparse (gen...

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Detalles Bibliográficos

Autores principales:	George I. Austin, Tal Korem
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	American Society for Microbiology 2025-05-01
Colección:	mSystems
Materias:	microbiome compositional data analysis machine learning imputation
Acceso en línea:	https://journals.asm.org/doi/10.1128/msystems.00021-25
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