Distribution-preserved compression of single-cell atlases for privacy-protected data dissemination and novel cell type discovery

We introduce SUREv2, a tool for constructing lightweight, transmittable, and privacy-preserving references from single cell atlases. SUREv2 introduces a compressed data structure that maintain the distribution of cells within these atlases and develops an out-of-reference scoring method for identifying novel cell populations. This user-friendly tool shall enhance the analysis of single cell datasets by providing a consistent, privacy-focused reference framework.