Fish ecotyping based on machine learning and inferred network analysis of chemical and physical properties

Abstract Functional diversity rather than species richness is critical for the understanding of ecological patterns and processes. This study aimed to develop novel integrated analytical strategies for the functional characterization of fish diversity based on the quantification, prediction and inte...

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Auteurs principaux: Feifei Wei, Kengo Ito, Kenji Sakata, Taiga Asakura, Yasuhiro Date, Jun Kikuchi
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/877e9d50a9e24c68a5002c8b0448a1d4
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