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Abstract:
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Traditionally, genes are clustered into groups that share a similar pattern of expression over time or under changing experimental conditions. Now, due to the emergence of genetical genomics, gene expression is also measured over varying genetic backgrounds. Standard genomics' clustering methods group genes based solely on expression profiles, ignoring linkage information. In contrast, other methods for genetical genomics treat expression measurements as quantitative traits in a linkage study. Therefore, we propose a new clustering method that groups genes together when they share a common set of QTLs.
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