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Common cases that the GRM doesn’t invert
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Here, I show common genetic reasons where can lead to genomic relationship matrix (GRM) with problems in the inversion. They are commonly based on population structure or repeated (or highly similar) information. The cases are not always true, but they can represent why you have a strong linear dependence in your G matrix (Van Raden 2008) and a not unique inverse for the matrix. After identifying the reason, you can take action in order to manage the data before building the G matrix.
R Parallel with Genomic Prediction Application
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Material developed for a workshop on R Parallel with Genomic Selection Application for the Genomic Selection Studies group at University of Florida, Gainesville, FL.
Collection of posts (R and more!)
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Links to R tips and misc stuff
Introduction to R
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For beginners with focus on Bioinformatics and Genetics
Better Graphics on R
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The idea of this course is to introduce several cool graphics over different packages and how to build it step-by-step. Hopefully you will get some tools to run away from the basic R graphics.