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Identifying the minimum amplicon sequence depth to adequately predict classes in eDNA-based marine biomonitoring using supervised machine learning.
Dully, Verena; Wilding, Thomas A; Mühlhaus, Timo; Stoeck, Thorsten.
Afiliação
  • Dully V; Technische Universität Kaiserslautern, Ecology, D-67663 Kaiserslautern, Germany.
  • Wilding TA; Scottish Association for Marine Science, Scottish Marine Institute, Oban, Scotland, United Kingdom.
  • Mühlhaus T; Technische Universität Kaiserslautern, Computational Systems Biology, D-67663 Kaiserslautern, Germany.
  • Stoeck T; Technische Universität Kaiserslautern, Ecology, D-67663 Kaiserslautern, Germany.
Comput Struct Biotechnol J ; 19: 2256-2268, 2021.
Article em En | MEDLINE | ID: mdl-33995917

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article