Deep neural networks for genomic prediction do not estimate marker effects

Abstract Genomic prediction is a promising technology for advancing both plant and animal breeding, with many different prediction models evaluated in the literature. It has been suggested that the ability of powerful nonlinear models, such as deep neural networks, to capture complex epistatic effec...

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Auteurs principaux: Jordan Ubbens, Isobel Parkin, Christina Eynck, Ian Stavness, Andrew G. Sharpe
Format: article
Langue:EN
Publié: Wiley 2021
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Accès en ligne:https://doaj.org/article/33a2fce533d7499b90a08552cbaacd06
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