Sequentially depicted are the raw pancreas dataset’s velocity stream, the effect of simulated omission via cell dropouts, and the refined dataset post-interpolation with BulkTrajBlend for dropout imputation as determined by pyVIA. The UMAP embedding is color-coded by cell type, consistent with the initial cluster annotations. Explained are the following cell types: Ngn3 High EP, Ngn3 High endocrine progenitor-precursor; Ngn3 Low EP, Ngn3 Low endocrine progenitor-precursor, Alpha, glucagon- producing alpha-cells; Beta, insulin-producing beta-cells; Delta, somatostatin-producing delta-cells and Epsilon, ghrelin-producing epsilon-cells.
