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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...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6248992/ https://ncbi.nlm.nih.gov/pubmed/30462727 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0207752 |
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