UniVI is a scalable multi-modal VAE toolkit for aligning heterogeneous single-cell datasets into a shared latent space—supporting unimodal, dual-modal, and tri-modal (and beyond) integration. It can additionally be used for cross-modal imputation, data generation of biologically-relevant synthetic samples, data denoising, and structured evaluation.
