Panoramic stitching of heterogeneous single-cell transcriptomic data

“Panoramic stitching of heterogeneous single-cell transcriptomic data” by Brian L Hie, Bryan Bryson, Bonnie Berger. https://doi.org/10.1101/371179 I selected this article for review for three reasons: I work with single-cell RNA-Sequencing (scRNA-seq) data quite a bit. Methods that can integrate two or more scRNA-seq data sets (across experiments, conditions, treatments, etc) are in high demand and are actively being worked on by many groups. I was intrigued about the idea of drawing “inspiration from computer vision algorithms for panorama stitching that identify images with … overlapping content, which are then merged into a larger panorama”. »