Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
Tipo:
Título:
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
Creador/a:
Togninalli, M.;
Xu Wang;
Kucera, T.;
Shrestha, S.;
Juliana, P.;
Mondal, S.;
Pinto Espinosa, F.;
Velu, G.;
Crespo Herrera, L.A.;
Huerta-Espino, J.;
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Singh, R.P.;
Borgwardt, K.;
Poland, J.A.
Xu Wang;
Kucera, T.;
Shrestha, S.;
Juliana, P.;
Mondal, S.;
Pinto Espinosa, F.;
Velu, G.;
Crespo Herrera, L.A.;
Huerta-Espino, J.;
Huerta-Espino, J.
https://orcid.org/0000-0001-8334-9862
Scopus ID
Researcher ID
Items in this Repository
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Singh, R.P.;
Borgwardt, K.;
Poland, J.A.
Año:
2023
Copyright:
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Revista:
Bioinformatics
Volumen de la Revista:
39
No de Revista:
6
Número de artículo:
btad336
Lugar de publicación:
Oxford (United Kingdom)
Editor:
Oxford University Press
Cita:
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics. 2023. 39 (6) DOI: 10.1093/bioinformatics/btad336 Oxford University Press.