Cargando…
“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...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949885/ https://www.ncbi.nlm.nih.gov/pubmed/27437026 http://dx.doi.org/10.1186/s13007-016-0136-4 |