This case study demonstrates how to use regularised CCA (rCCA) to explore relationships between lipid levels and gene expression in mice fed different diets. rCCA helps identify features from both datasets that are maximally correlated. You’ll learn how to tune regularisation parameters, choose a method, and compare results using sample and variable plots.
🔍 More on rCCA
📄 Download R script
Data used on this page:nutrimouse
Key functions used on this page:rcc()
tune()plotIndiv()
plotArrow()plotVar()
network()
cim()
References:
1. Martin, P., Guillou, H., Lasserre, F., Déjean, S., Lan, A., Pascussi, J.-M., San Cristobal, M., Legrand, P., Besse, P., and Pineau, T. (2007). Novel aspects of PPARalpha-mediated regulation of lipid and xenobiotic metabolism revealed through a multrigenomic study. Hepatology, 54, 767–777.