Profiling Cell Identity And Tissue Architecture With Single-cell And Spatial Transcriptomics

This article provides an overview of the latest advancements and challenges in single-cell transcriptomics, including sample preparation, data integration, and the curation of large cell atlases. It also discusses the concept of spatial ecotypes and the potential use of deep learning technologies in the field.