Improving genomic prediction accuracy of complex traits by integrating massive types of functional annotation information.

Abstract excerpt

The development of omics techniques has increased the number of functional genomic annotations, making it possible to leverage this information in statistical models to improve genomic prediction performance. However, it remains challenging to effectively use the variety of functional annotations available. Here, we develop an adaptive model we call IFAM, which extends the linear mixed model with multiple random...

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