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. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: Nat Mach Intell. 2020 Oct 5;2(10):607–618. doi: 10.1038/s42256-020-00233-7

Figure 3.

Figure 3.

Comparison of ItClust with semi-supervised and supervised methods on human pancreatic islet datasets when source and target data are from the same species. (a) The classification accuracies of ItClust, Seurat 3.011, Moana10, scmap7, and scVI8 for the four human pancreatic islet datasets and their combination15–18, using the Baron human data as source19. (b) The Sankey plots of ItClust, Seurat 3.0, scmap, and scVI for the four human pancreatic islet datasets and their combination. We only showed the top four performers for their Sankey plots.