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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7048706/ https://www.ncbi.nlm.nih.gov/pubmed/32174648 http://dx.doi.org/10.1007/s10994-019-05848-5 |