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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Bibliografiska uppgifter
I publikationen:BMC Bioinformatics
Huvudupphovsmän: Martini, Johannes W. R., Gao, Ning, Cardoso, Diercles F., Wimmer, Valentin, Erbe, Malena, Cantet, Rodolfo J. C., Simianer, Henner
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2017
Ämnen:
Methodology Article
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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