Skip to main content
. Author manuscript; available in PMC: 2019 Dec 1.
Published in final edited form as: Nat Biotechnol. 2019 May 6;37(6):685–691. doi: 10.1038/s41587-019-0113-3

Figure 2.

Figure 2

Scanorama correctly integrates a simple collection of datasets where other methods fail. (a) We apply Scanorama to a collection of three datasets17: one entirely of Jurkat cells (n = 3257 cells) (Experiment 1), one entirely of 293T cells (n = 2885 cells) (Experiment 2), and a 50:50 mixture of Jurkat and 293T cells (n = 3388 cells) (Experiment 3). (b) Our method correctly identifies Jurkat cells (orange) and 293T cells (blue) as two separate clusters. (c,d) Existing methods for scRNA-seq dataset integration are sensitive to the order in which they consider datasets (see Supplementary Fig. 1) and can incorrectly merge a Jurkat dataset and a 293T dataset together first before subsequently incorporating a 293T/Jurkat mixture, forming clusters that do not correspond to actual cell types.