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- W2089366901 abstract "Abstract Logic regression has been recognized as a tool that can identify and model non-additive genetic interactions using Boolean logic groups. Logic regression, TASSEL-GLM and SAS-GLM were compared for analytical precision using a previously characterized model system to identify the best genetic model explaining epistatic interaction for vernalization-sensitivity in barley. A genetic model containing two molecular markers identified in vernalization response in barley was selected using logic regression while both TASSEL-GLM and SAS-GLM included spurious associations in their models. The results also suggest the logic regression can be used to identify dominant/recessive relationships between epistatic alleles through its use of conjugate operators." @default.
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- W2089366901 date "2007-12-04" @default.
- W2089366901 modified "2023-10-17" @default.
- W2089366901 title "Statistical Modeling of Epistasis and Linkage Decay using Logic Regression" @default.
- W2089366901 cites W2172136348 @default.
- W2089366901 doi "https://doi.org/10.1038/npre.2007.1386.1" @default.
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