Fig. 3

Principal component alignment of pancreatic cells. a Training (Muraro, Segerstolpe, and Xin) datasets [3, 25, 26] were used to generate the training eigenspace. The test dataset (Baron et al. [31]) was projected, and all datasets were aligned using Seurat. No batch effect is observed after the alignment. b α, β, δ, and γ cells are included in the training datasets. The prediction dataset contains also 2326 “other” cell types such as epsilon, acinar, stellate, ductal, endothelial, Schwann, and T cells (bright green cells). After the dataset alignment, cells cluster by cell type. The X-axis shows variance explained (exp.var.), principal components (PC), and aligned principal components (APC)