Supervised machine learning is superior to indicator value inference in monitoring the environmental impacts of salmon aquaculture using eDNA metabarcodes (Englisch)
- Neue Suche nach: Frühe, Larissa
- Neue Suche nach: Cordier, Tristan
- Neue Suche nach: Dully, Verena
- Neue Suche nach: Breiner, Hans‐Werner
- Neue Suche nach: Lentendu, Guillaume
- Neue Suche nach: Pawlowski, Jan
- Neue Suche nach: Martins, Catarina
- Neue Suche nach: Wilding, Thomas A.
- Neue Suche nach: Stoeck, Thorsten
- Neue Suche nach: Frühe, Larissa
- Neue Suche nach: Cordier, Tristan
- Neue Suche nach: Dully, Verena
- Neue Suche nach: Breiner, Hans‐Werner
- Neue Suche nach: Lentendu, Guillaume
- Neue Suche nach: Pawlowski, Jan
- Neue Suche nach: Martins, Catarina
- Neue Suche nach: Wilding, Thomas A.
- Neue Suche nach: Stoeck, Thorsten
In:
Molecular Ecology
;
30
, 13
;
2988-3006
;
2021
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:Supervised machine learning is superior to indicator value inference in monitoring the environmental impacts of salmon aquaculture using eDNA metabarcodes
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Beteiligte:Frühe, Larissa ( Autor:in ) / Cordier, Tristan ( Autor:in ) / Dully, Verena ( Autor:in ) / Breiner, Hans‐Werner ( Autor:in ) / Lentendu, Guillaume ( Autor:in ) / Pawlowski, Jan ( Autor:in ) / Martins, Catarina ( Autor:in ) / Wilding, Thomas A. ( Autor:in ) / Stoeck, Thorsten ( Autor:in )
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Erschienen in:Molecular Ecology ; 30, 13 ; 2988-3006
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Verlag:
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Erscheinungsdatum:01.07.2021
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Format / Umfang:19 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis – Band 30, Ausgabe 13
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Cover Image| 2021