Predicting the Ecological Quality Status of Marine Environments from eDNA Metabarcoding Data Using Supervised Machine Learning
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- Tristan Cordier
- Department of Genetics and Evolution, University of Geneva, Boulevard d’Yvoy 4, CH 1205 Geneva, Switzerland
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- Philippe Esling
- IRCAM, UMR 9912, Université Pierre et Marie Curie, 4 place Jussieu, 75005 Paris, France
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- Franck Lejzerowicz
- Department of Genetics and Evolution, University of Geneva, Boulevard d’Yvoy 4, CH 1205 Geneva, Switzerland
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- Joana Visco
- ID-Gene ecodiagnostics, Ltd., chemin des Aulx 14, 1228 Plan-les-Ouates, Switzerland
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- Amine Ouadahi
- Department of Genetics and Evolution, University of Geneva, Boulevard d’Yvoy 4, CH 1205 Geneva, Switzerland
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- Catarina Martins
- Marine Harvest ASA, Sandviksboder 77AB, Bergen, 5035 Bergen, Norway
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- Tomas Cedhagen
- Department of Bioscience, Section of Aquatic Biology, University of Aarhus, Building 1135, Ole Worms allé 1, DK-8000 Aarhus, Denmark
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- Jan Pawlowski
- Department of Genetics and Evolution, University of Geneva, Boulevard d’Yvoy 4, CH 1205 Geneva, Switzerland
収録刊行物
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- Environmental Science & Technology
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Environmental Science & Technology 51 (16), 9118-9126, 2017-07-25
American Chemical Society (ACS)
