Forecasting Staphylococcus aureus Infections Using Genome-Wide Association Studies, Machine Learning, and Transcriptomic Approaches
Author(s) -
Mohamed Sassi,
Julie Bronsard,
Gaëtan Pascreau,
Mathieu Emily,
Pierre-Yves Donnio,
Matthieu Revest,
Brice Felden,
Thierry Wirth,
Yoann Augagneur
Publication year - 2022
Publication title -
msystems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.931
H-Index - 39
ISSN - 2379-5077
DOI - 10.1128/msystems.00378-22
Subject(s) - staphylococcus aureus , transcriptome , computational biology , genome , biology , computer science , genetics , bacteria , gene , gene expression
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