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Investigation of machine learning algorithms for taxonomic classification of marine metagenomes.
Park, Helen; Lim, Shen Jean; Cosme, Jonathan; O'Connell, Kyle; Sandeep, Jilla; Gayanilo, Felimon; Cutter, George R; Montes, Enrique; Nitikitpaiboon, Chotinan; Fisher, Sam; Moustahfid, Hassan; Thompson, Luke R.
Afiliación
  • Park H; Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Tsinghua University , Beijing, China.
  • Lim SJ; EPSRC/BBSRC Future Biomanufacturing Research Hub, EPSRC Synthetic Biology Research Centre SYNBIOCHEM Manchester Institute of Biotechnology and School of Chemistry, The University of Manchester , Manchester, United Kingdom.
  • Cosme J; Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami , Miami, Florida, USA.
  • O'Connell K; Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration , Miami, Florida, USA.
  • Sandeep J; College of Marine Science, University of South Florida , St Petersburg, Florida, USA.
  • Gayanilo F; Run:AI, Office of the CTO , Tel Aviv, Israel.
  • Cutter GR; Deloitte Consulting LLP, Biomedical Data Science Team , Arlington, Virginia, USA.
  • Montes E; Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution , Northwest, Washington, DC, USA.
  • Nitikitpaiboon C; Harte Research Institute, Texas A&M University-Corpus Christi , Corpus Christi, Texas, USA.
  • Fisher S; Harte Research Institute, Texas A&M University-Corpus Christi , Corpus Christi, Texas, USA.
  • Moustahfid H; Southwest Fisheries Science Center, Antarctic Ecosystem Research Division, National Oceanic and Atmospheric Administration , La Jolla, California, USA.
  • Thompson LR; Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami , Miami, Florida, USA.
Microbiol Spectr ; : e0523722, 2023 Sep 11.
Article en En | MEDLINE | ID: mdl-37695074
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Microbiol Spectr Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Microbiol Spectr Año: 2023 Tipo del documento: Article País de afiliación: China