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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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Vydáno v:PLoS One
Hlavní autoři: Shenstone, Esperanza, Cooper, Julian, Rice, Brian, Bohn, Martin, Jamann, Tiffany M., Lipka, Alexander E.
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2018
Témata:
On-line přístup: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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