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Comparison of F-tests for Univariate and Multivariate Mixed-Effect Models in Genome-Wide Association Mapping
Genome-wide association mapping (GWA) has been widely applied to a variety of species to identify genomic regions responsible for quantitative traits. The use of multivariate information could enhance the detection power of GWA. Although mixed-effect models are frequently used for GWA, the utility o...
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| Published in: | Front Genet |
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| Main Author: | |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Frontiers Media S.A.
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6369166/ https://ncbi.nlm.nih.gov/pubmed/30778369 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2019.00030 |
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