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	Provedor de dados 17 (1) Autor John A. Henning (1) P Szűcs (1) Thomas Parker (1) W F. Mahaffee (1) Palavra-chave Genetics & Genomics (1) Tipo do documento Manuscript (1) Ano 2007 (1) País United Kingdom (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Statistical Modeling of Epistasis and Linkage Decay using Logic Regression 17 Thomas Parker; P Szűcs; W F. Mahaffee; John A. Henning. 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. Tipo: Manuscript Palavras-chave: Genetics & Genomics. Ano: 2007 URL: http://precedings.nature.com/documents/1386/version/1 Registros recuperados: 1 Primeira ... 1 ... Última

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