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Forecasting Staphylococcus aureus Infections Using Genome-Wide Association Studies, Machine Learning, and Transcriptomic Approaches.
Sassi, Mohamed; Bronsard, Julie; Pascreau, Gaetan; Emily, Mathieu; Donnio, Pierre-Yves; Revest, Matthieu; Felden, Brice; Wirth, Thierry; Augagneur, Yoann.
Afiliação
  • Sassi M; Inserm, BRM (Bacterial Regulatory RNAs and Medicine)-UMR_S 1230, Rennes, France.
  • Bronsard J; Inserm, BRM (Bacterial Regulatory RNAs and Medicine)-UMR_S 1230, Rennes, France.
  • Pascreau G; Inserm, BRM (Bacterial Regulatory RNAs and Medicine)-UMR_S 1230, Rennes, France.
  • Emily M; Institut Agro, CNRS, Université de Rennes, IRMAR (Institut de Recherche Mathématique de Rennes)-UMR 6625, Rennes, France.
  • Donnio PY; Inserm, BRM (Bacterial Regulatory RNAs and Medicine)-UMR_S 1230, Rennes, France.
  • Revest M; Service de Bactériologie-Hygiène Hospitalière, CHU Rennes, Rennes, France.
  • Felden B; Inserm, BRM (Bacterial Regulatory RNAs and Medicine)-UMR_S 1230, Rennes, France.
  • Wirth T; Service des Maladies Infectieuses et Réanimation Médicale, CHU Rennes, Rennes, France.
  • Augagneur Y; Inserm, BRM (Bacterial Regulatory RNAs and Medicine)-UMR_S 1230, Rennes, France.
mSystems ; 7(4): e0037822, 2022 08 30.
Article em En | MEDLINE | ID: mdl-35862809
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Estafilocócicas / Bacteriemia Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: MSystems Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Estafilocócicas / Bacteriemia Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: MSystems Ano de publicação: 2022 Tipo de documento: Article