DEEPsc uses a neural network to obtain a data-adaptive projection of cells in scRNA-seq to the corresponding spatial imaging or spatial transcriptomic data of the same tissue.
Validated on four pairs of scRNA-seq data and spatial data including drosophila embryo, mouse hair follicle, zebrafish embryo, and mouse cortex.
Maseda, Floyd, Zixuan Cang, and Qing Nie. "DEEPsc: A Deep Learning-based Map Connecting Single-Cell Transcriptomics and Spatial Imaging Data." Frontiers in Genetics 12 (2021): 348.