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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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| Pubblicato in: | Mach Learn |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer US
2019
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| Soggetti: | |
| Accesso online: | 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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