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GRAPHICAL MODELS FOR THE ANALYSIS OF GENOME-WIDE ASSOCIATIONS
GRAPHICAL MODELS FOR THE ANALYSIS OF GENOME-WIDE ASSOCIATIONS
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机译:基因组关联分析的图形模型
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摘要
Systems and methods are provided for the identification of genotype-phenotype associations in genome-wide association (GWA) studies. In an illustrative implementation, a data correlation environment comprises a population structure engine and at least one instruction set to instruct the population structure engine to process pedigree or population genetic data to generate a population structure sub-model according to a selected graphical model-based data correlation paradigm. Illustratively, the parameter of the resulting generalized linear mixed model can be learned using a variational approximation.
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