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Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome.
Madrigal, Pedro; Singh, Nitin K; Wood, Jason M; Gaudioso, Elena; Hernández-Del-Olmo, Félix; Mason, Christopher E; Venkateswaran, Kasthuri; Beheshti, Afshin.
Afiliação
  • Madrigal P; Jeffrey Cheah Biomedical Centre, Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge, CB2 0AW, UK. pmadrigal@ebi.ac.uk.
  • Singh NK; Present Address: European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Hinxton, CB10 1SD, UK. pmadrigal@ebi.ac.uk.
  • Wood JM; Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.
  • Gaudioso E; Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.
  • Hernández-Del-Olmo F; Department of Artificial Intelligence, Computer Science School, Universidad Nacional de Educación a Distancia (UNED), 28040, Madrid, Spain.
  • Mason CE; Department of Artificial Intelligence, Computer Science School, Universidad Nacional de Educación a Distancia (UNED), 28040, Madrid, Spain.
  • Venkateswaran K; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA.
  • Beheshti A; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA.
Microbiome ; 10(1): 134, 2022 08 24.
Article em En | MEDLINE | ID: mdl-35999570
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Astronave / Microbiota Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En 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: Astronave / Microbiota Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article