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New deep learning-based methods for visualizing ecosystem properties using environmental DNA metabarcoding data.
Lamperti, Letizia; Sanchez, Théophile; Si Moussi, Sara; Mouillot, David; Albouy, Camille; Flück, Benjamin; Bruno, Morgane; Valentini, Alice; Pellissier, Loïc; Manel, Stéphanie.
Afiliação
  • Lamperti L; CEFE, Univ Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France.
  • Sanchez T; Ecosystems and Landscape Evolution, Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.
  • Si Moussi S; Ecosystems and Landscape Evolution, Land Change Science Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Switzerland.
  • Mouillot D; Ecosystems and Landscape Evolution, Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.
  • Albouy C; Ecosystems and Landscape Evolution, Land Change Science Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Switzerland.
  • Flück B; Laboratoire d'Ecologie Alpine, Univ. Grenoble Alpes, Univ. Savoie MontBlanc, CNRS, Grenoble, France.
  • Bruno M; MARBEC, Univ Montpellier, CNRS, IFREMER, IRD, Montpellier, France.
  • Valentini A; Institut Universitaire de France, Paris, France.
  • Pellissier L; Ecosystems and Landscape Evolution, Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.
  • Manel S; Ecosystems and Landscape Evolution, Land Change Science Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Switzerland.
Mol Ecol Resour ; 23(8): 1946-1958, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37702270
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / DNA Ambiental Idioma: En Revista: Mol Ecol Resour Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / DNA Ambiental Idioma: En Revista: Mol Ecol Resour Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França