Fig. 1From: A whitening approach to probabilistic canonical correlation analysis for omics data integrationProbabilistic CCA as a two layer latent variable generative model. The middle layer contains the CCA-whitened variables \(\widetilde {\boldsymbol {X}}^{\text {CCA}}\) and \(\widetilde {\boldsymbol {Y}}^{\text {CCA}}\), and the top layer the uncorrelated generative latent variables ZX, ZY, and ZsharedBack to article page