  The R package GFA provides a full pipeline for factor analysis of multiple
data sources that are represented as matrices with co-occurring samples. It
allows learning dependencies between subsets of the data sources, decomposed
into latent factors. The package also implements sparse priors for the
factorization, providing interpretable biclusters of the multi-source data
