Forecasting Staphylococcus aureus Infections Using Genome-Wide Association Studies, Machine Learning, and Transcriptomic Approaches

ABSTRACT Staphylococcus aureus is a major human and animal pathogen, colonizing diverse ecological niches within its hosts. Predicting whether an isolate will infect a specific host and its subsequent clinical fate remains unknown. In this study, we investigated the S. aureus pangenome using a curat...

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Detalhes bibliográficos

Principais autores:	Mohamed Sassi, Julie Bronsard, Gaetan Pascreau, Mathieu Emily, Pierre-Yves Donnio, Matthieu Revest, Brice Felden, Thierry Wirth, Yoann Augagneur
Formato:	Artigo
Idioma:	Inglês
Publicado em:	American Society for Microbiology 2022-08-01
Colecção:	mSystems
Assuntos:	Staphylococcus aureus genomics GWAS coding and noncoding regions random forest trancriptomics
Acesso em linha:	https://journals.asm.org/doi/10.1128/msystems.00378-22
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