Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space

Abstract

Integrative analyses of single-cell datasets are facing new challenges as data size and complexity grow. Here the authors present SCALEX, which projects cells from different datasets into a common latent space, allowing accurate online integration as well as cross-referencing with atlas-scale data.