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Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE)
BACKGROUND: Epistasis marker effect models incorporating products of marker values as predictor variables in a linear regression approach (extended GBLUP, EGBLUP) have been assessed as potentially beneficial for genomic prediction, but their performance depends on marker coding. Although this fact h...
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| I publikationen: | BMC Bioinformatics |
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| Huvudupphovsmän: | , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5209948/ https://ncbi.nlm.nih.gov/pubmed/28049412 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1439-1 |
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