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“Noisy beets”: impact of phenotyping errors on genomic predictions for binary traits in Beta vulgaris
BACKGROUND: Noise (errors) in scientific data is endemic and may have a detrimental effect on statistical analyses and experimental results. The effects of noisy data have been assessed in genome-wide association studies for case-control experiments in human medicine. Little is known, however, on th...
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| Publicado no: | Plant Methods |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4949885/ https://ncbi.nlm.nih.gov/pubmed/27437026 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13007-016-0136-4 |
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