rcca is an R package that performs sparse Canonical Correlation Analysis. Unlike currently available software, notably the PMA package, rcca implements an algorithm proposed by Suo 2017., a recent development shown to give better results. A link to the package can be found here, or you can install it by running

// R
library(devtools)
install_github("mkomod/rcca")

Over the last few month's I've been working on data integration for radiomic and transcriptomic data. The idea behind the project is trying to find shared structure between mRNA expression data and feature vectors constructed from images. The report and codebase can be found here