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An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat

In phenotype prediction the physical characteristics of an organism are predicted from knowledge of its genotype and environment. Such studies, often called genome-wide association studies, are of the highest societal importance, as they are of central importance to medicine, crop-breeding, etc. We...

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Publicat a:Mach Learn
Autors principals: Grinberg, Nastasiya F., Orhobor, Oghenejokpeme I., King, Ross D.
Format: Artigo
Idioma:Inglês
Publicat: Springer US 2019
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7048706/
https://ncbi.nlm.nih.gov/pubmed/32174648
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10994-019-05848-5
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