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An assessment of the performance of the logistic mixed model for analyzing binary traits in maize and sorghum diversity panels
The logistic mixed model (LMM) is well-suited for the genome-wide association study (GWAS) of binary agronomic traits because it can include fixed and random effects that account for spurious associations. The recent implementation of a computationally efficient model fitting and testing approach no...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6248992/ https://www.ncbi.nlm.nih.gov/pubmed/30462727 http://dx.doi.org/10.1371/journal.pone.0207752 |