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Evaluation of hierarchical models for integrative genomic analyses

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Denis M., Tadesse M.
2016

Motivation: Advances in high-throughput technologies have led to the acquisition of various types of -omic data on the same biological samples. Each data type gives independent and complementary information that can explain the biological mechanisms of interest. While several studies performing independent analyses of each dataset have led to significant results, a better understanding of complex ...

Méthodes mathématiques et statistiques; Autres thèmes; Maladies des animaux; Méthodes de recherche

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