Stability of single-cell dimension reduction after data shuffling

Single-cell RNA sequencing is a precise method for quantifying transcriptomes at the single-cell level instead of a bulk RNAseq on large populations of cells. However, high-dimensional scRNA-seq data is difficult to visualize. Packages are available for scRNA-seq dimension reduction such that biologists can understand the relation among cell types. We investigate visualization stability in low dim...