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Clustering is a common exercise to determine how closely samples are related to each other. This shows how samples can be clustered using a PCoA and PCA and visualizing using ggplot. Particularly, how to cluster RNA-seq samples.
Comparing the use of original data vs PCA in multiple regression. Analysis also showcases how principal components can be transformed back to their original vector space after model fitting for descriptive purposes